LambdaTest vs. BrowserStack vs. Marathon Cloud SaaS—Best Automation Testing Tools Comparison 🏆

In software development, automation testing has emerged as a crucial component for ensuring software quality and reliability. As applications become more complex, efficient and thorough testing processes become paramount. 

Automation testing tools like LambdaTest, BrowserStack, and Marathon Cloud play a pivotal role in this scenario, providing developers and QA teams with robust solutions to meet their testing needs efficiently.

LambdaTest and BrowserStack have established themselves as trusted names in the field. They offer extensive browser and device coverage and integration capabilities that streamline the testing process across various environments.

On the other hand, Marathon Cloud is quickly making its mark in the industry as a newer contender among the best automation tools. With its innovative approach focused on speed and scalability, Marathon Cloud is disrupting the market, challenging traditional testing paradigms by guaranteeing test completion within 15 minutes, regardless of the scale. This non-traditional approach accelerates the development cycle and enhances productivity by allowing quick feedback and iterations.

This comparison aims to delve deeper into each of these tools—examining their strengths, capabilities, and unique selling points—to assist you in selecting the best automation testing tool to align with your project’s demands and organizational goals. 

Whether you are a startup seeking cost-effective testing solutions or a large enterprise looking for high scalability and comprehensive coverage, understanding the nuances of these tools will equip you with the knowledge to make an informed decision.

Brief Overview of LambdaTest, BrowserStack, and Marathon Cloud

These three tools are at the forefront of automation testing technology, each offering unique strengths that make them stand-out choices for different testing scenarios. 

As mentioned, While LambdaTest and BrowserStack have been around a bit longer, Marathon Cloud is one of the newest and most innovative testing tools on the market.

Understanding the three platforms’ core capabilities and primary focuses will help you better compare and contrast their suitability for your various development environments and requirements.

So, let’s get to it!

LambdaTest Overview

LambdaTest provides a straightforward and efficient manual and automated testing platform, offering users a reassuring emphasis on ease of use and cost-effectiveness. 

The main appeal for LambdaTest lies in its simplified pricing structure and comprehensive toolset that supports various testing frameworks.

BrowserStack Overview

Renowned for its extensive device and browser coverage, BrowserStack offers an advanced testing environment ideal for teams needing to perform detailed cross-browser tests on many devices, including real mobile devices.

Marathon Cloud Overview

Marathon Cloud features unlimited concurrency and a dynamic test distribution system. As a result, it can complete all tests within 15 minutes regardless of the test suite size.

Therefore, as a tool designed to give users all of the above plus speed and efficiency, Marathon Cloud arguably delivers the most innovative approach to handling large volumes of automated tests so far.

Detailed Comparison: LambdaTest vs. BrowserStack vs. Marathon Cloud SaaS

Now, with a foundational understanding of LambdaTest, BrowserStack, and Marathon Cloud, let’s delve deeper into a side-by-side comparison of these three platforms.

We’ll explore each tool, focusing on five key areas:

  1. Pricing and plans
  2. Device and browser coverage
  3. Automated testing capabilities
  4. Local testing capabilities
  5. Collaboration and integration features

This analysis gives you a clearer picture of which tool best meets the specific requirements of your testing environment.

LambdaTest Analysis

LambdaTest is recognized for its user-friendly interface and budget-friendly solutions, making it an attractive option for many teams, from startups to larger enterprises.

Here’s a more detailed breakdown of the tool’s key attributes:

1. Pricing and Plans

Flexible Pricing Options

LambdaTest is particularly noted for its pricing flexibility, which is designed to accommodate businesses of all sizes without compromising the quality of its testing capabilities. 

The platform offers several tiered plans that scale based on the number of parallel tests and whether you’ll run manual or automated tests.

Users can choose from monthly or annual subscriptions, with the latter often including discounts that enhance affordability. This flexibility ensures businesses can adapt their testing expenditures according to project timelines and budget constraints.

Unfortunately, with that flexibility comes the confusion of many possible configurations and an admittedly complicated pricing structure. 

Prices range anywhere from $15 per month (billed annually at $180) for one manual, live, parallel test each month to $128 per month (billed annually at $1,536) for one automated web or mobile parallel test.

2. Device and Browser Coverage

Comprehensive Testing Environment

LambdaTest supports a wide range of browsers and operating systems, including older versions, which ensures that applications perform well across all user segments.

Although it doesn’t match BrowserStack’s real device offerings, it still covers a significant array of virtual devices and browser environments that can accurately simulate real-user interactions.

Responsive Design Testing

The platform also enables responsive design testing, allowing developers to check how their websites or applications respond to different screen sizes, orientations, and resolutions. This is an essential feature for delivering a robust user experience.

3. Automated Testing Capabilities

Extensive Framework Support

LambdaTest integrates seamlessly with popular testing frameworks like Selenium, Cypress, TestNG, and more. This integration facilitates automated and manual testing, effectively supporting continuous integration and deployment pipelines.

Parallel Testing

To speed up the testing process, LambdaTest allows users to run multiple tests simultaneously across various browser and device combinations, significantly reducing the time needed for comprehensive test cycles.

4. Local Testing Capabilities

Secure Local Testing

Users can test their locally hosted or privately held web applications without exposing them to the internet using LambdaTest’s secure tunnel feature. This feature is helpful for testing development and staging environments securely and efficiently.

5. Collaboration and Integration

Robust Integration Ecosystem

LambdaTest offers extensive integrations with project management, bug tracking, and continuous integration tools, including JIRA, Asana, Jenkins, Travis CI, and more. These integrations help streamline workflows and improve communication between QA teams and developers.

Real-Time Bug Tracking

The platform provides tools that allow team members to capture issues during testing sessions and share them instantly with developers, complete with annotations and screenshots. This real-time capability allows for quicker issue resolution, enhancing team productivity.

In Summary

LambdaTest offers a versatile and comprehensive suite of testing tools designed to meet modern development teams looking for efficient, collaborative, and cost-effective testing solutions. These features make it a formidable competitor in the market of automation testing tools, suitable for a wide variety of testing scenarios.

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BrowserStack Analysis

BrowserStack is celebrated for its extensive device and browser coverage. It offers a highly versatile platform that caters to the intricate testing requirements of both small-scale developers and large enterprises.

1. Pricing and Plans

Diverse Subscription Options

BrowserStack caters to a wide range of users through its flexible pricing plans, which vary from options suitable for individual developers to customized solutions for large enterprises. Each plan is designed with specific features and access levels to meet the varied needs of its users.

Enterprise Customization

For larger organizations, BrowserStack offers bespoke plans that can include unlimited testing minutes, dedicated account management, and enterprise-grade security features, ensuring that businesses can scale their testing efforts without constraints.

However, like LambdaTest, the platform’s flexibility configuration makes for a simpler and more complex pricing structure. Depending on various testing types and terms, pricing can range from nothing to thousands per year.

2. Device and Browser Coverage

Excellent Real Device Access

BrowserStack provides access to an extensive array of real devices and browsers, covering every significant version and type available. This function is critical for testing applications in real-world conditions, ensuring that they perform as expected on all platforms and devices.

Up-to-Date Browser Versions

The platform consistently updates its browser versions, including beta and developer versions, allowing developers to quickly test their applications against the latest browser updates.

3. Automated Testing Capabilities

Advanced Automation Tools

BrowserStack integrates cutting-edge features like AI-powered visual testing, which automates the detection of visual regressions. This helps identify discrepancies that might not be caught through standard code-based testing.

Selenium and Appium Support

It supports a wide range of automation frameworks, including Selenium for web and Appium for mobile applications. This versatility makes it ideal for teams working on diverse projects.

4. Local Testing Capabilities

Secure Local Testing Solution

BrowserStack’s Local Testing feature allows secure, fast testing of developmental, staging, and internal websites that aren’t publicly accessible. This function is by way of tunneling software that creates a secure connection between the BrowserStack servers and the local machine.

Integration with Development Environments

The ability to integrate with local development environments means teams can identify issues earlier in the development cycle, saving time and reducing costs associated with late-stage bug fixes.

5. Collaboration and Integration

Extensive Integration Options

BrowserStack boasts superior integration capabilities with popular development and project management tools like JIRA, GitHub, and Slack. These integrations help streamline workflows by allowing teams to share results and collaborate directly within the tools they use daily.

Real-time Collaboration Features

The platform enables real-time browser testing and debugging, which can be shared among team members instantly, enhancing communication and efficiency during the testing phases.

In Summary

BrowserStack’s robust features make it an all-encompassing solution for organizations requiring thorough testing across various devices and browsers. Its commitment to providing up-to-date technology and secure testing environments makes it a formidable tool in the arsenal of any development team focused on delivering flawless user experiences across all platforms.

Marathon Cloud Analysis

Marathon Cloud stands out in the automation testing tool market, promising to complete any size test suite within 15 minutes. The platform achieves this commitment to speed and efficiency through innovative test management and dynamic resource allocation.

1. Pricing and Plans

Simple Pay-As-You-Go Model

Marathon Cloud has many advantages, and simplicity in pricing is undoubtedly one of them. The pricing structure is designed to provide flexibility and control over testing costs without adding confusion, which it accomplishes quite well.

The service charges a straightforward $2 per device hour. This configuration allows organizations to scale their usage based on current testing needs without the requirement for long-term commitments. 

Marathon’s structure is a major plus for organizations looking to explore options and is particularly beneficial for projects with variable testing demands.

Highly Cost-Effective for Large-Scale Testing

Given Marathon’s rapid test execution, many more tests can be completed in fewer device hours. This feature helps keep costs low even under extensive use, making it an economical choice for small and large projects and companies.

2. Device and Browser Coverage

Infinite Virtual Devices

Another innovative testing approach of Marathon Cloud is its provision of unlimited virtual devices. This feature allows for immense scalability and flexibility, enabling simultaneous testing across multiple environments without the typical wait times associated with limited device availability.

Dynamic Scaling

The platform automatically scales the number of virtual devices based on the test load, ensuring that all tests are completed within the stipulated time frame. As a result, the bottlenecks often encountered in testing cycles are eliminated.

3. Automated Testing Capabilities

Optimized for Speed with Smart Balancing

Marathon Cloud uses advanced algorithms to distribute tests dynamically across the available devices, ensuring optimal utilization and balanced workloads. Therefore, all tests are completed within the 15-minute window, regardless of the total number of tests.

Automatic Retries for Flaky Tests

The system automatically retries failed tests, reducing the human effort required to manage flaky tests that might otherwise need manual intervention. This feature has a two-fold benefit:

  • Time-saving
  • Greater accuracy in test outcomes

4. Local Testing Capabilities

Emphasis on Cloud-Based Testing

Marathon Cloud does not provide traditional local testing capabilities. But don’t worry. When you think you’ve found a fault, you realize its cloud-based infrastructure is designed to securely and efficiently accommodate all testing scenarios, so there’s no problem there. 

This setup is effortless and ideal for teams that prefer to avoid managing their hardware or software environments for testing.

5. Collaboration and Integration

Enhanced Reporting Tools

Marathon Cloud integrates with popular reporting frameworks, such as Allure’s open-source platform, facilitating detailed insights into test results. This capability allows teams to quickly understand the causes of failures and track improvements over time.

Support for Custom Reporting

In addition to standard reporting tools, Marathon Cloud enables integration with other customized reporting solutions, allowing teams to maintain continuity in their test reporting practices.

In Summary

Marathon Cloud is a novel and robust solution for businesses prioritizing quick turnaround times in their testing cycles. Its ability to deliver rapid, scalable, and efficient testing across unlimited virtual devices makes it an exceptional tool for companies looking to maintain high testing standards without physical device limitations.

Takeaway

In the competitive arena of automation testing tools, LambdaTest, BrowserStack, and Marathon Cloud each provide distinct advantages, making them leaders in their respective niches. LambdaTest and BrowserStack have been stalwarts in the field and are known for their comprehensive testing environments and integration capabilities. 

They offer the reliability and depth required for thorough cross-browser testing across numerous devices and platforms, making them invaluable for developers needing extensive support and functionality.

However, it’s impossible to overlook Marathon Cloud’s innovative strides. Marathon Cloud has swiftly distinguished itself as a newer player with its revolutionary approach to testing automation. 

By promising and delivering test completion within 15 minutes, irrespective of test suite size, Marathon Cloud addresses one of the most critical challenges in software development—time. This feature boosts productivity and dramatically shortens the feedback loop, allowing teams to iterate faster and more effectively.

Marathon Cloud’s straightforward pricing model further enhances its appeal, especially for projects with fluctuating testing needs. Its capability to dynamically scale virtual device use ensures efficient resource management, which can be particularly cost-effective for both small-scale projects and large enterprises. 

The platform’s focus on cloud-based testing solutions also means that teams can minimize the overhead of maintaining hardware and complex setups, thus simplifying the testing process.

While it may still need to have the broad real-device coverage of BrowserStack or the established market presence of LambdaTest, Marathon Cloud’s non-traditional approach is poised to set new standards in the testing domain. 

For organizations prioritizing speed and efficiency without sacrificing quality, Marathon Cloud emerges as a compelling choice, potentially reshaping future expectations for automation testing tools.

As the software development landscape continues to evolve, the choice of a testing tool will heavily depend on specific project requirements and organizational priorities. Whether it’s the depth and reliability of BrowserStack, the accessibility and versatility of LambdaTest, or the innovative efficiency of Marathon Cloud, each tool offers unique benefits.

Understanding these can help you leverage the right solutions to achieve optimal outcomes in your software development lifecycle.

Do you have more questions about LambdaTest vs. BrowserStack vs. Marathon Cloud SaaS? Ask away in the EU Discord!

Supercharge Your Career in 2024: How to Become a Web Test Automation QA

So, you’re thinking about stepping up your game and taking the leap into web test automation this year. 

Whether you’re a manual QA tired of the daily monotony or just someone eager to enter the future of testing, this guide will walk you through everything you need to know. 

We’ll go over the latest in the web test automation movement, discuss a few of the most important “whys” around jumping into a career in this field, and talk about the top skills you’ll need to break in.

We’ll also compare a couple of the top tools in web test automation, go through the steps you need to take to get your foot in the door and provide some top-level info on courses you can take here at Engenious University (EU) to help you get going fast.

So, let’s get going with a bit of background…  

The Emergence of Web Test Automation

The digital world is expanding faster than ever, and with that growth comes the need for more efficient, reliable testing methods. 

Enter web test automation.

This testing methodology is all about using tools and scripts to perform repetitive testing tasks to make sure web applications work correctly across different browsers and devices. 

Why Web Test Automation?

To understand why test automation has become so critical, imagine the huge number of updates a major ecommerce platform makes on a regular basis. Each update has to be tested across devices and browsers.

Manually, this level of testing would be time-consuming. However, with web test automation, scripts handle repetitive, cross-device, and browser test procedures quickly and accurately.

As a result, the site maintains top performance across the board, and site usability rarely skips a beat.

Efficiency and Speed

As we explained in the hypothetical scenario above, automated tests run much faster than manual ones. Scripts can execute thousands of complex test cases during every test run, providing a level of coverage that’s impossible with manual testing.

For example, a manual tester might take days to run a full regression test suite. Automation, on the other hand, can complete this same process in hours or, using a tool like Marathon Cloud, as little as 15 minutes.

Consistency

Automated testing eliminates the risk of human error. Though it performs the same operations as manual test processes, the execution is precise every time, maintaining test quality.

For instance, a human being may have a long day and, as a result, forget to check a central feature. A script will never experience a long day, much less one that makes it tired. This consistency maintains high standards without skipping a beat.

Cost-Effectiveness

While the initial setup for automation can be expensive, it pays off in the long run by reducing the hours spent on manual testing.

Consider a startup that’s short on funds. Its stakeholders might be anxious about the initial investment in automated tests. However, in the long run as the company scales up, they’ll find they’ve saved thousands in diminished manual testing hours.

Reusability

Reusability is arguably the greatest advantage of automated test scripts. Once written, they can be used across multiple versions of an application, saving massive amounts of time and effort.

Imagine a test script for a constantly updated function, such as a login. The login’s test script can be reused automatically every time the application is updated.

The script’s reusability saves time and guarantees that the login function is always in working order, regardless of the number of updates.

Now that you’ve got a general idea about the “whys” of web test automation, we can jump into the most important skills you’ll need to succeed in the industry.

Top Skills Needed for Web Test Automation QA

Programming Knowledge

A good grasp of programming languages like Python or JavaScript is a given, but understanding the basics is enough. You don’t need to be a coding wizard.

For example, say a bug arises in the test script, you should know how to read and write code so you can quickly fix the bug and keep the testing process running smoothly.

Familiarity with Automation Tools

Knowing how to use tools like Selenium and Playwright is a must. Each tool has its strengths, and understanding which tool to use in different scenarios will help you out significantly.

For instance, Selenium is great for broad browser support, while Playwright offers top performance for modern web apps. Choosing the right tool can save a lot of time and trouble.

Understanding of Web Tech

Knowledge of HTML, CSS, and JavaScript will help you understand the applications you’re testing and write better automation scripts.

When a test fails, for instance, knowing these technologies helps you pinpoint whether the issue is with the script or the application itself.

Analytical Skills

Analyzing results and identifying issues is a big part of web test automation. So, strong analytical skills will help you pinpoint where things go wrong and why.

For example, if a test case fails, analyzing logs and outputs can help identify whether the problem is with the application code, test script, or environment.

Attention to Detail

With meticulous attention to detail, you’ll be able to write scripts that cover all possible scenarios.

Overlooking a small detail, like an element locator, can cause a test to fail. When you’re careful to achieve accuracy, you can prevent these kinds of issues.

You can have all the skills in the world, but they won’t matter much if you don’t have the right web test automation tools. Below is a comparison of some of the best and most widely used tools out there.

To become a successful automation test engineer, you’ll want to familiarize yourself with all of these tools.

Web Test Automation Tools Comparison

Selenium

A veteran in the automation game, Selenium supports a range of programming languages and browsers. It’s highly flexible but can be a bit complex for beginners.

While Selenium’s flexibility makes it ideal for complex test scenarios, it requires more setup and expertise.

WebdriverIO

This tool is known for its ease of use and integration capabilities. It’s built on Node.js, making it a favorite among developers working with JavaScript.

WebdriverIO’s user-friendly interface makes it easier for teams familiar with JavaScript to quickly adopt and integrate it into their workflows.

Playwright

A relatively new player, Playwright offers powerful automation capabilities. Developed by Microsoft, it supports multiple browsers and is known for its reliability and speed. It’s particularly popular for testing modern web applications.

Playwright’s ability to easily handle modern web applications makes it a go-to for teams working on highly complex projects.

Cypress

Known for its speed and reliability, Cypress is excellent for end-to-end testing. It’s easy to use and offers real-time reloads, which makes the development process smoother.

Cypress’s real-time reloads allow developers to see test results instantly, speeding up the development process.

Learning Playwright

If you’re looking to learn Playwright automation, you’re making a smart choice. Playwright stands out because it’s designed for modern web applications and provides reliable, fast, and versatile testing capabilities.

Playwright supports multiple browsers and offers features like auto-wait. This feature “waits” for elements to become actionable before performing actions, making tests more reliable.

According to recent statistics, Playwright has become even more popular than Cypress. So why would you learn outdated technologies?

Test Automation for Web Applications

Web applications are becoming increasingly complex, which means testing them requires more and more sophisticated tools and methods. 

Test automation for web applications helps guarantee that these applications perform well across environments and conditions. By automating repetitive tests, QA engineers can focus on more urgent aspects of the application, such as usability and performance. 

This shift toward automation speeds up the testing process and improves the overall quality and reliability of web applications.

For example, imagine a banking app that has to work perfectly across platforms. By using automated testing for every feature—from login to transactions—you can make sure all functions work flawlessly, helping to provide a solid user experience.

PRO TIP: Get the Engenious University Advantage

Here at Engenious University, we’re passionate about helping QA professionals like you grow and excel. 

Our free course, Automation with Playwright: Mastering Web Automation with AI, is tailored for experienced testers and beginners. It’s also taught by industry experts Igor Dorovskikh and Vasyl Shpak.

Course Highlights

  • Setting Up Playwright in Visual Studio Code: Get started by configuring your environment and understanding Playwright’s core architecture.
  • Your First Test: Gain hands-on experience by writing your first test.
  • Accelerate Test Writing with ChatGPT Copilot: Learn how AI-driven prompts can expedite your test writing process.
  • Executing Page Object Model: Master TypeScript for Page Object Model implementation to increase your tests’ organization and scalability.
  • Continuous Support: Access full-scale materials and support through our dedicated Discord channel.

Students can quickly set up Playwright in Visual Studio Code and start running their first tests within minutes, making the learning curve much smoother.

Steps to Become a Web Test Automation QA

Self-Assessment and Goal Setting

Ask yourself why you want to switch to automation and write down your answers. Doing so will help keep you motivated along the road. Then set clear goals for what you want to achieve and by when.

For example, a QA might set a goal to automate 50% of their current manual tests within six months, providing a clear target to work toward.

Choose Your Tools

Decide which automation tools you want to learn first. Selenium and Playwright are excellent starting points.

For example, a QA team might choose Selenium for its broad compatibility and Playwright for its modern features, allowing it to tackle a variety of testing scenarios.

Learn Programming

Start with programming basics. There are tons of online resources, coding bootcamps, and courses that can help you get started.

Engenious University offers everyone a free 30-minute mentoring session with one of our industry experts. Taking advantage of this resource is a great way to move forward.

Practice, Practice, Practice

Apply what you learn by practicing on real projects. Open-source projects are a great way to gain hands-on experience.

For instance, contributing to open-source projects on GitHub can provide practical experience and showcase your skills to potential employers.

Join a Community

Talk with other QA professionals. Online forums like LinkedIn, local meetups, and webinars can provide valuable insights and support.

Joining communities like Engenious University Discord or attending local QA meetups can help you stay connected and learn from others.

Enroll in Courses

Structured courses can accelerate your learning. Engenious University offers a free course perfect for experienced testers and beginners. Our structured learning paths make acquiring and applying new skills much easier.

Build a Portfolio

Build a portfolio of your work to showcase your skills. Include your automation scripts, test cases, and contributions to open-source projects.

A well-documented portfolio can make a huge impression on potential employers by demonstrating your proficiency in test automation.

Stay Updated

The tech world evolves rapidly. Never stop learning about new tools, techniques, and best practices in web test automation.

Following industry blogs, attending webinars, and participating in online courses can keep you at the forefront of the field.

Ready to Take the Leap?

Transitioning from manual QA to web test automation engineering is an exciting endeavor that requires dedication, continuous learning, and the right guidance. 

By mastering tools like Playwright and leveraging the resources at Engenious University, you’ll be well on your way to becoming a successful web test automation QA in 2024.

If you’re ready to upgrade your QA career now, enroll in our free course, Automation with Playwright: Mastering Web Automation with AI, and start your automation transition or career today. Let’s make 2024 the year you supercharge your QA career!

FAQs

No doubt you’ve got questions at this point. Here are a few of the most common ones we encounter, along with their answers.

Why should I switch to web test automation?

Web test automation is the way the industry is going. It’s faster, more reliable, and scalable compared to manual testing. It expands test reach and efficiency, making it an indispensable skill.

What programming languages should I learn for web test automation?

Languages like Python, JavaScript, and Java are commonly used in web test automation. Start with one that aligns with the tools you plan to use.

If you’re planning to use Playwright, learning JavaScript or TypeScript will be beneficial since the tool well-supports these languages.

How can I gain practical experience in web test automation?

Practice on real projects, contribute to open-source projects and build a portfolio showcasing your work. Engaging in hands-on practice is also important.

Is learning automation tools difficult?

It can be challenging initially, but you can become proficient with the right resources, practice, and guidance. As mentioned, Engenious University offers a free course to help you get started with Playwright.

How do I stay updated with the latest trends in web test automation?

Join online communities like LinkedIn, attend webinars, read industry blogs, and learn new tools and techniques all the time.

Resources like the Engenious Blog and webinars hosted by industry experts are excellent resources for staying updated.

What are the benefits of taking a course at Engenious University?

Engenious University provides top-level, free courses taught by industry experts, along with continuous support and community engagement to help you excel in web test automation.

By following this guide and taking advantage of the resources available at Engenious University, you’re well on your way to becoming a proficient web test automation QA in 2024. 

Still have questions? Let’s discuss on Discord!

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Your Ultimate Guide to XCUItest vs. Appium—Tested and True ✅

You probably already know that the mobile app development industry runs at a dizzying pace characterized by constant change. What you might not know is that, together, that pace and constant evolution make choosing the right testing tool incredibly important.

In fact, selecting the right testing tool is a strategic imperative. With so many frameworks available, each offering diverse features and functionalities, the decision is also increasingly complex.

Development teams should thoroughly understand each option’s capabilities and limitations to ensure their choice enhances testing processes and aligns seamlessly with project objectives and timelines. 

This understanding is vital to navigating the massive landscape of testing tools and ultimately creating mobile applications that make it.

It sounds overwhelming, but it doesn’t have to be. Just keep reading this guide!

I’ll start by unpacking the complexities of XCUItest and Appium, two of the top tools in iOS testing today. We’ll examine key aspects related to speed, scalability, and support, and I’ll walk you through both operational platforms to give you a nuanced comparison that’ll help you make the best choice for your project. 

Whether you’re a newbie or a seasoned dev who’s deeply embedded in the Apple ecosystem, understanding the strengths and weaknesses of each platform can significantly impact your project’s success. 

So without further ado, let’s get started with an overview of our two contenders!

XCUItest Overview

In the first corner, we have XCUItest, Apple’s proprietary technology for iOS and tvOS app user interface (UI) testing. 

XCUItest is fully integrated into Xcode and written in Swift, which simplifies the learning curve for iOS developers and makes it a seamless option for developers familiar with Apple’s ecosystem. 

One of the biggest advantages of using XCUItest is its native support, which means it tends to be faster and more stable for testing iOS interfaces.

Direct incorporation into the Xcode IDE enhances its efficiency and accessibility, allowing test scripts to be inserted immediately into the development process.

XCUItest Key Features

Speed

  • Operates directly within the Xcode environment, which allows for faster test execution compared to external tools. 
  • Allows for the direct insertion of test scripts into the development process, enhancing proficiency and accessibility.
  • Facilitates crucial and agile development cycles where time is of the essence, further contributing to fast and reliable test executions.

Scalability

While XCUItest is highly scalable within the Apple ecosystem, it’s limited to iOS and tvOS. This fact makes is perfect for teams focused exclusively on Apple products but can be restrictive if cross-platform testing is needed.

Support

Being an Apple product, XCUItest offers extensive documentation and support directly from Apple. Any queries are generally addressed with comprehensive responses, giving you high reliability and stability in testing.

Practical Application

Consider a scenario where you’re testing an app with heavy localization requirements. Because it effectively handles different languages and locales, XCUItest excels here. So you can rest assured that UI elements are correctly displayed across various settings.

Language Support

XCUItest supports Swift and Objective-C, allowing tests to be written in the same languages used for app development, which reduces the learning curve and simplifies code management.

Advanced UI Testing Capabilities

The architecture supports a range of UI testing features. For example, it allows you to test the user interface in ways that mimic real user interactions. Whether it’s tapping buttons, swiping screens, or entering text, XCUItest handles these with ease.
 

Additionally, this direct interaction with UI elements means XCUItest is highly effective at testing for behaviors that would be unexpected from a user’s perspective, making it a robust option for highly complex UI testing scenarios. 

Practical Application

Consider a development team working on a multilingual iOS application. 

XCUItest’s direct integration with Xcode allows developers to implement systematic automation of tests across different languages and locales. UI elements are accurately displayed regardless of the user’s location.

Appium Overview

In the next corner, we have our cross-platform challenger: Appium. Like XCUItest, this flexible tool supports automated testing for iOS. Unlike XCUItest, it’s open-source, so it also covers Android, Windows, and even web application testing.

The real strength of Appium lies in its flexibility. The tool’s versatility originates from its ability to operate as a server that translates Selenium WebDriver commands to platform-specific actions using various drivers to execute tests.

Thanks to this WebDriver compatibility, it supports multiple programming languages, including Java, Python, Ruby, and JavaScript. However, there’s a trade-off to this maneuverability.

Since Appium acts as a middleman translating WebDriver commands to native platform actions, it can introduce additional latency and potential points of failure, resulting in speed lag and native integration limitations.

Key Features of Appium

Flexibility

As mentioned, Appium’s WebDriver compatibility allows it to operate in multiple programming languages, and that means it integrates very well with various CI/CD tools. 

The platform’s major strength is in its ability to conduct tests across different platforms using the same API, which leads us to our next key feature.

Cross-Platform Capability

Unlike XCUItest, and as mentioned, Appium can test applications on iOS, Android, and the web. This function is invaluable for teams producing apps in multiple industries for multiple platforms. 

However, though Appium allows these teams to maintain a single test suite for both platforms, the risk of increased test execution time due to communication overhead is real.

Community Support

Appium has a vast user community of developers and testers called Appium Discuss, as well as a wide array of support forums. 

While not as direct as Apple’s support for XCUItest, the forums are comprehensive, and the community is active. So you’ll find no shortage of practical solutions and workarounds for common issues. 

Language Flexibility

As I said, Appium is compatible with the Selenium WebDriver and supports many different programming languages, including Java, Python, Ruby, and JavaScript.

WebDriver Protocol 

Appium functions as a server that uses the JSON Wire Protocol for Selenium, which translates Selenium commands into actionable commands on mobile devices. This setup, though potentially slower due to communication overhead, offers incredible flexibility in testing.

Integration Challenges

Appium setup can be more complex than that of XCUItest due to its dependency on external servers and additional components for cross-platform testing. 

Also, because commands first run through a server, Appium initialization can introduce latency and slow down rapid testing cycles. This potential for delay is important to consider if your application calls for rapid testing feedback.

XCUItest vs. Appium: Which is Best for Your Project?

Whether you decide to use XCUItest vs. Appium depends on your specific needs. Following is a more detailed look at three use cases each platform where one or the other would be the best fit. This discussion should be significantly helpful in guiding your choice.

Use Cases Where XCUItest Would Be the Winner

Use Case: Rapid Feature Release for an iOS Shopping App

A development team at a retail company is working on an iOS shopping app that requires frequent updates based on user behavior. The app’s iOS exclusivity makes XCUItest the ideal choice due to its seamless integration with Xcode. 

This native integration allows the team to rapidly prototype, develop, and test new features, keeping the app responsive and stable with each update.

Use Case: High-Fidelity iOS Game Testing

A gaming studio is developing an iOS-exclusive game involving complex user interactions, like swipes and taps, along with high-quality graphics.

For an iOS app incorporating these kinds of complex gesture interactions coupled with high-quality graphics, the high performance and stability of XCUItest will be invaluable in guaranteeing the game’s UX.

Use Case: Healthcare Application Compliance Testing

A healthcare technology company is developing an iOS app that must comply with stringent regulatory standards due to the presence of critical patient data across multiple screens. 

Because critical data is at stake and must be properly displayed across various screens, XCUItest will be the best choice. 

Again, the native Xcode integration will enable the team to systematically and confidently execute important tests, and the team (and client) can rest assured that the app meets all compliance requirements before release.

Use Cases Where Appium Would Be the Winner

Use Case: Enterprise App for Field Service Management

A tech company develops a cross-platform field service management application usable on both iOS and Android devices. 

Appium’s ability to test multiple platforms using the same API will allow the team to maintain consistency across different operating systems, enhancing accuracy and reducing development time.

Use Case: Ecommerce Platform with Regular UI Overhauls

An ecommerce startup plans regular UI changes for its platform, which must run on iOS, Android, and web interfaces.

The development team should use Appium to leverage their existing Selenium expertise and manage UI changes with confidence across these platforms, benefiting from Appium’s flexibility and extensive language support.

Use Case: Educational App with Interactive Features

A company specializing in educational software is developing an app with interactive quizzes, tutorials, and gamification elements. The app will be available on iOS, Android, and web platforms. 

Using Appium will allow the development team to create a unified testing strategy, guaranteeing that interactive elements function properly across all platforms. This setup is crucial for maintaining a consistent learning experience for users regardless of their device.

Takeaway

As it turns out, the choice between XCUItest and Appium shouldn’t be reduced to an either-or. Instead, to optimize your processes, you should allow it to be a play-it-by-ear decision. 

Both platforms offer significant advantages but cater to different developer needs and project requirements. While XCUItest is ideal for developers deeply embedded in the iOS ecosystem who prioritize speed and productivity, Appium offers excellent flexibility and cross-platform support for broader testing strategies. 

By understanding the specific scenarios and advantages of each tool, teams can make more informed decisions that maximize efficiency and effectiveness in their testing processes. 

So, there’s no need to stress. Whichever tool you choose, carefully consider all the factors and go with the one that best aligns with your current testing project. Do this, and you’ll end up making the right choice every time.

Demystify Codeless Test Automation vs XCUITest—Which Is Right for You? 🤔

As the demand for seamless digital experiences intensifies and evolves in today’s world, the demand for effective testing frameworks, especially those that are automated, becomes more and more intense. 

When it comes to automating the testing process for iOS applications, two popular approaches typically come to everyone’s mind: XCUItest and Codeless Test Automation (CTA). 

Each approach has its place in the software development lifecycle. However, choosing the right one depends on several main factors, including the project’s technical requirements, team skills, and testing objectives.

With all those main factors comes a sea of sub-variables, which can make it tough to figure out when to use one or the other approach. 

I’m here to help with that!

In this post, I’ll explain the nuanced differences between XCUItest and various CTA platforms to help you decide which might be best for your projects. I’ll examine when and why you might use one over the other and give you technical specifics with clear explanations.

You’ll also gain insight to help you integrate these technologies into your testing strategy so you can make informed decisions tailored to your project requirements.

I’ll start by breaking down the fundamentals of XCUItest and CTA tools by examining their unique advantages and discussing some suitable use cases. 

Differences Between XCUItest & CTA Tools

What is XCUITest?

XCUItest is a powerful application derived from Apple’s suite of development tools. It’s specifically designed for developers looking to automate UI testing for iOS applications within Xcode, Apple’s Integrated Development Environment (IDE). 

As an extension of the XCTest framework, XCUItest allows developers to write tests in Swift or Objective-C. It provides a powerful way to integrate automated UI tests that interact directly with the app, just as a user would, by simulating user interactions programmatically.

Principal Attributes of XCUITest

  • Seamless Integration with Xcode: Effortlessly integrates within Apple’s IDE, facilitating direct execution and monitoring of tests.
  • Exclusive Apple Support: Tailored for iOS, ensuring high compatibility, continuous updates, and optimal performance with iOS applications.
  • High Efficiency: Rapid execution speeds and a reduction in test flakiness due to native integration.
  • In-Depth Testing Abilities: Enables detailed interactions with UI elements, simulating real-world user scenarios.

Optimal Contexts for XCUITest

  • Complex UI Testing: Best for apps where intricate gestures or complex sequences are required.
  • Metrics Analysis: Easily evaluates application performance under a variety of stress conditions.
  • Continuous Integration Synergy: When used with the right plugins, integrates perfectly with continuous integration tools that support iOS environments, such as Jenkins.
  • Performance Sensitivity: Most effectively utilized in scenarios where performance metrics like speed and responsiveness are critical, such as streaming apps.

What is Codeless Test Automation (CTA)?

CTA differs significantly from traditional, coding-intensive testing frameworks because it doesn’t require detailed programming knowledge. Rather, it’s an approach that broadens accessibility and reduces the barrier to testing, making it easy for testers without extensive coding skills to use.

As a major plus, its intuitive, user-friendly graphic test configuring interfaces are ideal for businesses looking to involve creative but non-technical team members. By drastically reducing complexity CTA especially simplifies the quality assurance process for projects that require rapid test development.

Principal Attributes of CTA

  • Intuitive Test Creation: Utilizes visual tools for assembling and revising tests swiftly.
  • Quick Adaptation: Rapid update capabilities keep pace with rapid application changes.
  • Easy for Non-Developers: Enables individuals without programming expertise to execute comprehensive tests.
  • Vast Integration Capabilities: Supports seamless integration with leading CI/CD pipelines. 

NOTE: Keep in mind that codeless integration-based approaches are typically less flexible than code-based approaches in handling complex test scenarios. 

Optimal Contexts for CTA Tools

  • Dynamic Development Projects: Ideal for projects that undergo frequent modifications and require agile testing responses.
  • Broad Team Participation: Allows for effective contribution from team members of varying technical skill levels.
  • Straightforward Testing Demands: Best suited for projects with clear and uncomplicated testing needs.
  • Simpler Testing Needs: Optimal when testing requirements do not necessitate deep system interactions or complex configurations.

When to Use XCUITest vs. Codeless Test Automation—5 Scenarios

Selecting the right testing tool and approach hinges on your project’s unique needs and the dynamics and configuration of your development team. 

Therefore, the best way to begin understanding whether (or when) you should use XCUItest or CTA is to explore how each is applied in practical examples and scenarios. Below, these 5 scenarios demonstrate how each approach proves its mettle in the face of common testing challenges.

Scenario 1: Complex iOS Application Testing

XCUItest is particularly useful for testing complex iOS applications. It allows testers and developers to write highly customized tests capable of deep interaction with the application’s UI elements.

  • Example: An iOS banking app with robust security features and complex user flows would benefit from XCUItest’s precise test-scenario control and integrated iOS features.

Scenario 2: High-Stakes iOS App Development

XCUItest is indispensable for complex apps that are closely tied to the Apple environment. It allows for nuanced testing of iOS-specific functionalities like multi-touch gestures, Siri integration, and camera interactions.

  • Example: A high-security patient portal app with complex transactions and authentication processes would benefit from XCUItest’s ability to accurately simulate common and complicated human user interactions.

Scenario 3: Rapid Prototyping and Testing

CTA stands out in testing environments where speed and efficiency are critical and is ideal for creative, agency-based projects that require frequent updates along with quick turnaround.

  • Example: A lifestyle app whose developers would like to implement regular UI updates and feature rollouts based on real-user interaction would benefit from CTA’s ability to quickly set up and modify tests without deep technical expertise.

Scenario 4: Dynamic Consumer Applications

Similar to the lifestyle app above, an app in a promotional environment where consumer feedback drives frequent application updates requires an agile testing approach to keep pace. CTA has that agility, allowing teams to respond quickly by adjusting tests to suit new features or UI updates.

  • Example: A retail shopping app that implements regular feature updates in response to consumer behaviors around promotional events would benefit from CTA’s ability to pivot and adapt to market demands at the drop of a hat.

Scenario 5: Advanced iOS Application Development

As I said, if an application includes intricate processes and is tightly woven within the Apple ecosystem, XCUItest is almost always the best option. It allows for precise testing of iOS-specific functionalities, such as multi-touch gestures and voice commands.

  • Example: An advanced iOS-based security application dealing with intricate transactions and multi-factor, multi-gesture authentication processes would benefit from XCUItest’s capacity for simulating precise and elaborate user interactions.

Overview of CTA Tools

By now, you probably have a pretty good idea of which approach you want to use for your various projects. But, for those requiring CTA, there’s a bit more to the picture.

While XCUItest is its own tool, there are several CTA tools out there to choose from, so you’ve got lots of options. Below is a breakdown of the top codeless automation tools, each one offering its own set of benefits for different testing requirements:

Appium

Cross-Platform Compatibility: Appium stands out due to its ability to facilitate testing across multiple platforms, including iOS, Android, and Windows. 

This function is particularly valuable in today’s varied application ecosystems, where developers require consistent app performance across various devices and operating systems. 

Appium’s compatibility makes it an ideal tool for teams aiming to maintain uniformity in multi-platform environments.

Open-Source Nature: As an open-source tool, Appium offers the advantage of extensive customization options. Its community-driven approach allows for continuous enhancements and updates so the framework evolves in line with current and emerging testing needs.

This openness encourages a supportive environment where developers can contribute to and benefit from collective problem-solving and innovation.

Programming Language Flexibility: Appium supports tests written in multiple programming languages, delivering a powerful advantage in bridging different development environments. 

This flexibility enables teams to use their preferred coding languages and integrates easily into varied development workflows, which improves productivity and collaboration among developers.

Katalon Studio

Extensive Testing Capabilities: Katalon Studio is recognized for its comprehensive testing capabilities that include API, web, mobile, and desktop testing all from a unified platform.

This all-encompassing approach allows teams to handle various testing demands with a single solution, streamlining the testing process and reducing the need for multiple tools.

User-Friendly Interface: The platform balances sophisticated functionality with user accessibility by offering both codeless operations and advanced scripting options. 

This dual capability makes Katalon Studio appealing to novice and experienced testers, allowing for a smoother learning curve and deep technical customizations when required.

Rich Integration Ecosystem: Katalon Studio supports a vast array of plugins and integrations, greatly extending its functionality beyond core features. 

This rich integration ecosystem enables it to adapt to various development environments and enhances its utility as a versatile testing tool.

TestCraft

Selenium-Based Foundation: TestCraft leverages the robustness of Selenium for web application testing without the need for direct scripting. 

This approach reduces the technical threshold required to setup and manage tests, making it accessible to testers without extensive programming knowledge.

AI-Driven Adaptations: The integration of AI helps TestCraft automatically adjust tests in response to UI changes. 

This feature significantly reduces the maintenance overhead for test scripts, ensuring higher effectiveness and accuracy in handling dynamic application interfaces.

CI/CD Integration: By aligning tests with continuous integration and deployment workflows, TestCraft enhances operational efficiency. Its ability to integrate into CI/CD pipelines reduces bottlenecks and allows for faster development cycles.

Tricentis Tosca

Model-Based Testing Framework: Tricentis Tosca uses a model-based approach to testing, which simplifies test creation and maintenance. 

Abstracting tests into high-level models allows testers to focus more on test logic rather than on intricate coding details, streamlining the testing process.

Risk-Based Test Optimization: The framework prioritizes testing areas based on their potential business impact. 

This kind of risk-based optimization helps allocate resources effectively so that critical functionalities are thoroughly tested, thereby maximizing the ROI in testing efforts.

Wide-Ranging Integration Support: Tosca supports integration with a wide range of tools and platforms, which enhances its flexibility and utility in diverse testing environments. 

This extensive support facilitates a more streamlined testing process, enabling seamless communication across tools and platforms.

Mabl

Machine Learning Integration: Mabl integrates machine learning to refine test paths and detect anomalies, enhancing the precision of test results. 

This advanced technology allows Mabl to anticipate issues and optimize tests based on real-time data, improving test accuracy and reliability.

End-to-End Testing Capability: Offering tools that cover all phases of software development, from front-end to back-end, Mabl provides a comprehensive testing framework. 

With its end-to-end capability, Mabl ensures thorough coverage of the software lifecycle, aiding in the detection and resolution of issues at any stage of development.

Cloud-Based Operation: Mabl operates entirely in the cloud, providing scalable and accessible testing solutions without the need for major infrastructure investment.

As a cloud-based tool, it’s ideal for companies who want to minimize hardware dependency and boost collaboration among distributed teams.

Selenium IDE

Accessible Test Creation: Selenium IDE features a browser-based interface that simplifies test setup and execution. 

This accessibility allows new users to begin automating tests without a steep learning curve, allowing for rapid test development.

Playback and Record Functionality: The tool’s playback and record functionality allows users to easily create and modify test cases.

Thanks to this function, Selenium IDE is particularly useful for teams that need to develop tests quickly and adapt to changing requirements without major scripting efforts.

Extensive Plugin Support: Selenium IDE benefits from a global community that delivers numerous plugins and extensions, continuously enhancing its capabilities. 

With its comprehensive support, Selenium IDE can expand and adapt its functionality to meet diverse testing needs, maintaining relevance and effectiveness in the testing community.

Takeaway: Crafting a Superior Testing Strategy

When deciding between XCUItest and a codeless test automation tool, it’s important to have a nuanced understanding of each approach. And, as I mentioned, your decision should ultimately depend on your project’s needs and the skills of the testing team. Ask yourself:

Does the application call for detailed interactions that will require comprehensive iOS system access, or are surface-level tests sufficient? 

Are the team members skilled in languages like Swift, or would they benefit from a graphical interface? 

Consider whether the project’s scale and the intricacy of user interactions favor a more hands-on tool like XCUItest or a more flexible, accessible option like one of the CTA tools above.

In a nutshell:

XCUItest is best for:

  • Projects that require deep integration with iOS system features
  • Teams with technical proficiency in Swift or Objective-C
  • Testing scenarios that involve complex interactions and require precise control

CTA tools are best for:

  • Teams with limited programming skills
  • Projects that need to quickly adapt to changes without extensive test scrip rewrites
  • Scenarios of simple to moderate complexity where high customization isn’t critical

If you’d like additional insights or guidance on integrating these methodologies into your development process, feel free to leave a comment. Let’s elevate your testing strategy to ensure your projects succeed with flying colors!

What’s the Most Cost-Effective Mobile Test Automation Tool at Scale? 🤔💭

A Detailed Comparison of Firebase Test Lab vs Marathon Cloud

In an era where mobile applications dominate the digital landscape, peak functionality and user experience (UX) have become non-negotiable—making rigorous testing more important and at a larger scale than ever.

In today’s market, UX load testing simulating real-world conditions is now a key priority for any team looking to deliver a successful mobile app. Fortunately, testing continues to grow increasingly sophisticated right alongside the mobile devices it supports, especially when it comes to UX.

Unfortunately, testing is still expensive, and the larger the scale, the higher the price tag. This factor makes choosing the right test automation tool—one that can handle the complexity and scale of modern mobile applications while fitting into constrained budgets—essential to success. 

In this analysis, we’ll take a close look at two leading contenders in the mobile test automation space: Firebase Test Lab and Marathon Cloud. 

We’ll give an overview of each tool and analyze how it addresses the most immediate testing needs and aligns with the current and evolving demands of mobile app development. Finally, we’ll discuss which tool comes out on top for the most common testing scenarios at scale. 

Before we get to the comparison, it’s important to understand the factors to consider when aiming for maximum ROI testing at scale. Let’s get to it!

5 Factors to Consider for Max ROI

A recent report on continuous testing trends stressed the growing importance of automation tools to ROI in the overall native and mobile web app testing strategy. 

When choosing a test automation tool for maximum ROI, you’ll want to consider 5 critical factors. Below, we’ll discuss the “why” behind each factor’s importance and give example use cases to illustrate their impact.

Factor #1 – Device Needs

When you test on physical devices, you can be confident that your application will behave as expected in real-world scenarios. This can be important for user satisfaction and app performance. However, the costs associated with physical device testing can be high. 

High-quality tools that allow for mobile emulator testing help balance these costs while increasing test coverage and frequency. Choosing a tool that enables proven reliability with emulator testing can significantly help manage budgets, especially in large-scale projects.

Factor #2 – Setup Complexity

The setup and integration of a complex testing automation tool into an existing platform and workflow can be a major budget drain—in terms of increased potential for errors and lags. 

Therefore, to maximize ROI, a tool’s setup should minimize downtime, accelerate development cycles, and reduce the margin for error. 

Factor #3 – User Experience

A testing automation tool’s intuitiveness and ease of use significantly affect project efficiency. A user-friendly interface is easy for anyone on the team to pick up, reducing training time and minimizing errors. As a result, the testing process is smoother, faster, and more affordable.

Factor #4 – Sharding/Parallelization

The ability to run tests in parallel or distribute them across different environments can greatly reduce testing time. With efficient sharding and parallelization capabilities, tests are completed faster. Speed is essential for agile development environments and quick iterations.

In contrast, a tool with built-in parallel test execution capabilities can cut testing time by over 50%, enabling faster feedback loops and quicker iterations without requiring any additional setup. 

Factor #5 – Handling Flaky Tests

Flaky tests undermine the reliability of test results. This unreliability often leads teams to overlook important problems and introduces unnecessary development delays. Therefore, a tool’s ability to manage and minimize flaky tests is a crucial element in maintaining testing process integrity and ROI.

Understanding and evaluating these factors in the context of specific project requirements can be a great help in selecting the right tool, ultimately enhancing testing efficiency and maximizing ROI in software development projects. 

Next, we’ll look at these factors in relation to two of the leading automation testing tools for scale: Firebase Test Lab and Marathon Cloud.

2 Top Options for Efficient Test Automation: Firebase Test Lab vs. Marathon Cloud 

Analysis—Firebase Test Lab

Tool Overview

Firebase Test Lab is a cloud-based service where developers can test Android and iOS apps on various devices and settings without the need for an individual testing setup. 

Hosted in Google’s data centers, Firebase Test Lab provides access to both virtual and physical devices, allowing for app testing under different conditions and on various hardware. It simplifies the testing phase by automatically finding crashes, creating detailed reports, and providing performance insights.

Device Needs

Firebase Test Lab’s cloud-based infrastructure allows developers to test mobile apps on a variety of devices to ensure compatibility and functionality across different models and operating systems. 

It’s particularly powerful for testing on physical devices, especially iOS applications. However, this power comes at a premium, costing $5 per device per hour. 

When it comes to extensive testing sessions at scale, this rate can quickly add up and can be prohibitive in a continuous testing scenario.

Additionally, Firebase can only test physical iOS devices—no virtual or simulated environments. As we discussed, virtual environments often allow for quicker and more flexible testing scenarios, making this limitation unfortunate for large-scale jobs.

Setup Complexity

Firebase Test Lab setup involves integrating with multiple tools and navigating the complexities of the gcloud CLI. This process can be cumbersome, adding significant overhead and potentially complicating the testing process for teams whose members lack technical expertise.

  • Integration and Customization: Although a setup process involving the gcloud CLI and tools like Flank may seem complex, it offers substantial control and customization for testing environments. This can be particularly advantageous for teams already integrated into the Google ecosystem, enabling detailed automation within CI/CD pipelines.
  • Seamless Google Services Integration: Firebase Test Lab integrates well with Google’s other services. This familiarity creates a simple workflow for users of Google’s cloud products by reducing the need to manage multiple systems. The integration supports scalability, making it easier to expand testing efforts without substantial additional overhead.
  • Valuable Learning Curve: The initial learning curve required to set up Firebase Test Lab is steep. However, some teams consider it a long-term investment. Once mastered, it allows for highly customizable and automated test scenarios. Google also provides expansive documentation and support to help overcome setup challenges.

Despite some initial complexities, Firebase Test Lab’s robust integration features and scalability make it a strong contender for organizations vested in the Google Cloud infrastructure that need detailed control over their mobile app testing.

User Experience

Feedback from Firebase Test Lab users is mixed. While the tool supplies extensive test coverage and performance insights, many users find it challenging to navigate, especially those new to Google’s ecosystem. 

The need for multiple tool integrations and the dependency on the Google Cloud platform can be a barrier to quick adoption and ease of use. However, those familiar with Google services may appreciate the seamless integration with other Google tools.

Sharding/Parallelization

Firebase Test Lab’s support for sharding is limited:

  • CLI Limitations: The CLI doesn’t allow you to set more than one parallel execution, which is a significant drawback for large-scale testing scenarios.
  • Sharding Algorithm: The sharding algorithm borrowed from Orchestrator is not optimal. It can result in significant differences in execution time among different shards, leading to inefficiencies.
  • Additional Tooling Required: To improve sharding, Firebase Test Lab requires integration with Flank and Google Cloud Storage, which adds to the cost and complexity of setup. Flank allows for better sharding, but the integration process is not straightforward and means additional expenses.

Handling Flaky Tests

Flaky tests lead to non-deterministic and often repetitive test executions, which can skew test reliability and increase testing times and costs. They’re a common challenge in software testing and an unfortunate weakness for Firebase Test Lab.

In Firebase, the approach to managing flaky tests involves rerunning the entire test suite when inconsistencies occur rather than isolating and rerunning only the failed or flaky tests. This method ramps up time and resource consumption, particularly in large-scale projects where test suites are extensive.

Each test rerun means additional time and charges, especially with physical devices, which are charged per device per hour. 

Remember, Firebase setup is already complex, requiring tools like Flank and Google Cloud Storage to enhance other functionalities such as sharding. These additional reruns further complicate budgeting and operational efficiency.

  • Technical Limitations and User Feedback: The inability to target flaky tests for reruns is a limitation that leads to increased frustration among developers and testers. In fact, user feedback often points to flaky test handling as a significant inefficiency, with teams expressing concerns over time wasted on unnecessary reruns that could’ve been avoided with more sophisticated flaky test handling mechanisms.  Such limitations are particularly challenging in continuous integration environments where speed and efficiency are major concerns.
  • Potential for Improvement with Additional Tools: While Firebase Test Lab itself does not offer advanced flaky test isolation, integrating with additional tools might give some relief. However, doing so requires additional investment in setup and maintenance, adding layers of complexity and potential points of failure in the testing pipeline.

Analysis—Marathon Cloud

Tool Overview

Marathon Cloud is a newer testing tool developed specifically for speed and efficiency in modern, fast-paced development environments. The service allows users to run thousands of tests simultaneously, completing them all within just 15 minutes and starting at $2 per device hour. 

Marathon is tailored for developers and companies looking to rapidly test and validate software across various scenarios, significantly cutting down on the time and resources typically required for extensive testing procedures.

Device Needs

Marathon Cloud supports emulator-based testing, providing a cost-effective solution for larger-scale project requirements. While it doesn’t support physical device testing, its emulators are exceptionally accurate and help to significantly lower overall costs.

User Experience

Marathon Cloud is often praised for its user-friendly interface and versatile CLI tool, which cater to less technical users and seasoned developers equally. 

The dashboard is commonly referred to as “intuitive,” making it easier for teams to integrate and manage testing processes. This ease of use translates to higher productivity and a smoother integration into existing development pipelines.

Watch our webinar to learn more on how different tools help improve your testing efficiency:

Sharding/Parallelization

Marathon Cloud is equipped with advanced mechanisms for test distribution and real-time load balancing, allowing for efficient sharding and parallel test execution. 

This built-in functionality means that teams can achieve high throughput without the need for external tools or complex configurations—a massive advantage in any large-scale, complex scenario.

Handling Flaky Tests

Marathon Cloud has built-in, automatic functionality for dealing with flaky tests, including advanced preventive analytics and fine-grained corrective retries. 

For example, rather than rerunning an entire test suite, Marathon isolates the flaky behavior, identifies the issue, and then executes immediate retries only for the failed tests.

This approach results in a higher degree of test reliability and reduces the time team members spend dealing with inconsistent test outcomes. 

These features save enormous amounts of time and reduce the cost impact of handling flaky tests, significantly improving the overall ROI of the testing process.

Try it yourself and see the results using your own project as an example:

Try For FREE

Use-Case Scenario Comparison

As you can see, Firebase Test Lab and Marathon Cloud differ significantly in their approaches to testing automation at scale. Now, let’s examine a few hypothetical scenarios to see how ROI might factor into the equation.

Device Needs Scenario

A startup is developing an app intended for a global audience with a wide range of devices and operating systems. Marathon Cloud would be the best choice here. Its extensive emulator testing capabilities will allow the testing team to ensure broad coverage for diverse markets while keeping costs within budget 

Setup Complexity Scenario

A large enterprise with an established CI/CD pipeline is on a tight time-to-market deadline. As a result, it needs a testing tool capable of integrating without major project disruption. 

Firebase Test Lab has the necessary control and customization for this project, but it’ll require additional configurations and integrations that could introduce complexities and delays. 

In contrast, Marathon Cloud could save weeks of engineering time, enhancing ROI by speeding up time-to-market.

UX Scenario

A team with members having varying levels of technical expertise is tasked with maintaining high testing standards for a new software product. 

Marathon Cloud, with its user-friendly UI and versatile CLI tool, enables beginners and experienced developers on the team to perform tests effectively, reducing the learning curve and boosting team productivity.

Sharding/Parallelization Scenario

A large software company is in a release cycle and needs to run thousands of tests daily. If the team chooses Firebase Test Lab, they’ll need to implement Flank, a massively parallel Android and iOS test runner, since the platform otherwise has no sharding capabilities.

Using Marathon Cloud, with its built-in sharding/parallelization functions, would allow the team to run its thousands of tests daily right from the gate, saving time and money.

Flaky Test Scenario

An app development team frequently encounters flaky tests that result in inconsistent test outcomes, leading to repeated test cycles and wasted developer time. 

Marathon Cloud’s preventive and corrective retries functions enforce robust strategies for handling these flaky tests. Using it for this project would significantly reduce inefficiencies, deliver more reliable testing outcomes, and more effectively allocate resources.

Takeaway

Marathon Cloud emerges as a strong leader for any team seeking cost-effective and efficient test automation at scale. It supports emulators with proven reliability, integrates user-friendly features, and includes comprehensive, built-in handling of flaky tests. 

Together, these features make it particularly suitable for developers and QA teams focused on optimizing their mobile app testing processes.

While Firebase Test Lab presents certain challenges, particularly in terms of setup complexity and handling flaky tests, it also offers significant advantages for teams deeply integrated into the Google ecosystem and limited to physical-device testing (though, more often these days, the latter is rare). 

Its powerful customization capabilities and seamless integration with other Google services can be highly beneficial, especially for those who already leverage Google’s infrastructure extensively.

Overall, Firebase Test Lab’s robust features and deep integration options make it a viable option for certain enterprise environments, especially those committed to Google’s platform and physical device testing. 

However, Marathon Cloud offers a more streamlined and cost-effective solution for most teams working at scale, reducing the complexity and overhead commonly associated with large-scale test automation.

Do you have questions about Firebase Test Lab and Marathon Cloud not addressed above? Ask away; we’d love to help!

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How to Prepare for a Test Automation Engineer Interview (+Land the Job!)

The journey from a manual QA tester to a high-paid test automation engineer is marked by one pivotal (and stressful) moment: the interview. 

To succeed, you need tech skills and a strategic approach to the interview process itself. It sounds like a lot. But don’t worry!

In this post, I’ll draw on the wisdom I’ve gained specializing in software development engineering in test (SDET), working with brands like Tinder, Barnes & Noble, and Expedia, and founding Engenious. 

The whole 15 years’ worth.

I’ve been there, done that, and succeeded—many times over. And I’m happy to share. So grab a cup of coffee, and let’s get to it! 

Branding Yourself

The test automation engineering space is competitive, so you’ve got to break through the noise. Standing out to potential employers starts long before the interview—with your personal brand. 

In almost every industry today, your resume and LinkedIn profile are the basis of your brand, and they’re pivotal tools in making a good first impression.

Both resources should do things:

  • showcase your experiences and
  • tell a compelling story of your career

Following are some simple ways to do just that. 

Tend to Your LinkedIn Profile

  • Professional Headshot: A clear, professional photo where you appear approachable and confident sets the right tone.
  • Compelling Headline: Instead of just your job title, include specialties or key skills. For example, “Test Automation Engineer | Expert in Selenium & Cypress | Building Robust Test Frameworks.”
  • Portfolio Button: If you have an online portfolio or repository, add the portfolio button to your LinkedIn profile. It’s easy to do, plus it adds professionalism to your profile and streamlines access to your portfolio.
  • Customized Summary: Your summary should narrate your professional journey, your passion for automation testing, and your career aspirations. Highlight your transition from manual testing to automation, emphasizing continuous learning.
  • Detailed Experience Section: For each role, list specific projects and contributions. Use bullet points to describe what you did, the technologies you used, and the impact of your work (e.g., increased test coverage by X%, reduced regression testing time by Y hours).
  • Skills & Endorsements: List key technical skills relevant to test automation engineering, such as programming languages (Java, Python), test automation tools (Selenium, TestComplete, Cypress), and CI/CD tools (Jenkins, GitLab). Invite your colleagues to endorse these skills, as well.
  • Recommendations: Seek recommendations from colleagues, supervisors, or clients you’ve worked with closely. These personal testimonials can significantly boost your profile’s credibility.
  • Engagement: Regularly update your profile with articles, shared insights, or projects you’re working on. Engaging with posts related to your field shows you’re active and invested in your professional community.

Ramp Up Your Resume

  • Clear Format: Use a clean, professional format that highlights your experience and achievements without overwhelming the reader. Make it easy to read with clear headings and bullet points.
  • Tailored Objective Statement and Skills: Briefly describe your career goals and what you bring to the table as a test automation engineer. Make it specific to the test automation jobs you’re applying for. Also, add skills relevant to the job you’re applying to. But don’t overdo it! Hiring managers can tell if you’ve cut and pasted in the job listing to trick the application tracking system (ATS). It’s not a good look.
  • Include Numbers: Whenever possible, rather than just listing tasks, focus on what you accomplished. For example, “Developed a Selenium-based test automation framework that reduced the testing cycle from 2 weeks to 3 days.”
  • Relevant Technical Skills: Clearly list the technical skills and tools you’re proficient in, categorizing them for readability (e.g., Programming Languages, Automation Tools, CI/CD Tools).
  • Professional Development: Feature any certifications, courses, or workshops you’ve completed, especially those relevant to test automation. These courses might include things like ISTQB Advanced Level Test Automation Engineer or courses from Engenious University.
  • Projects Portfolio: If possible, include a short section or a link to an online portfolio featuring projects you’ve worked on. This could be a GitHub repository or a personal website. It’s an excellent way to demonstrate your practical skills and creativity.

Want feedback on your resume? Join a mentorship session! The first 30 minutes are FREE:

Choose a Mentor

Early Stage: Engaging with Recruiters and Hiring Managers

Engaging with recruiters and hiring managers is part of the process. It’s your best bet to treat these initial conversations as more than formalities. 

Research the company so you can ask informed questions and express genuine interest. This preparation shows recruiters your dedication and enthusiasm for the role, setting you apart from other candidates.

Tired of reading? Watch this on YouTube:

The Crucial Pre-Interview Call

A less-known but strategic move is requesting a pre-interview call with the hiring manager. This is an efficient way to gain insight into the role’s expectations, the team culture, and the technological stack, directly from the decision-maker. 

It’s also an opportunity to present yourself well, highlight your strengths, and align your experiences with the company’s needs. Looking back, I can attribute many of my career wins to these pre-interview discussions. Don’t underestimate their potential to impact the interview process in a positive way.

Mastering the Interview Process

As the world of work evolves, the interview process for test automation engineers now often includes video and in-person components. 

Each format presents its own set of challenges and opportunities, requiring candidates to adapt their strategies to make a strong impression.

Tips for Nailing Video Interviews

Video interviews have become a staple, especially in the initial stages of the recruitment process. To excel in these, keep the following points in mind.

  • RULE #1: Test Your Tech: Ensure your internet connection is stable, and your audio and video equipment is functioning properly. Getting caught off guard because your mic won’t work or your video keeps dropping is a recipe for stress (I know!). The Zoom test meeting is easy, fast, and worth its weight in gold. Every video conferencing platform offers pretesting, so find it and use it
  • Arrive Early: The same goes for arrival time. Get set up and ready so you can jump on the meeting as soon as the interviewer arrives. This practice will also give you an additional failsafe for checking your tech.
  • Professional Environment: Choose a quiet, well-lit space for the interview. Be mindful of your background—keep it neutral and free of distractions. Doing so will help you maintain your focus and will keep the interviewer focused on you and your qualifications.
  • Engagement: Maintain eye contact by looking at the camera, not the screen. It takes some getting used to, but it makes a big difference by mimicking the effect of in-person engagement. Additionally, be mindful of your body language; sit up straight and use hand gestures naturally to convey enthusiasm and confidence.
  • Dress Code: Dress professionally for a virtual interview, just as you would for an in-person interview. Professional dress affects the interviewer’s perception of you and can influence your mindset and performance.

In-Person Interviews: Making a Lasting Impression

When it comes to in-person interviews, the dynamics change and the physical presence adds another layer to how you are assessed. Keep these tips in mind:

  • Arrival Time: Aim to arrive 10-15 minutes early. This shows punctuality and eagerness for the opportunity. Use the extra time to calm your nerves and mentally prepare.
  • First Impressions: A firm handshake (or an appropriate greeting considering health guidelines) and a warm smile go a long way in setting a positive tone. Your initial interactions can set the stage for a successful interview.
  • Non-Verbal Cues: Be conscious of your body language throughout the interview. Use good posture, make appropriate eye contact, and nod to show you’re actively listening and engaged in the conversation.
  • Materials Preparation: Bring copies of your resume, a portfolio of your work if applicable, and a notepad for taking notes. Having your ducks in a row demonstrates organization and preparedness.

General Interview Tips for Both Formats:

  • Research and Prepare: Regardless of the format, researching the company and role you’re applying for is crucial. Understand their products, culture, and the challenges they face. Tailor your responses to show how you can contribute to their success.
  • Practice Common Questions: While technical skills are crucial, don’t overlook common interview questions about your experiences, strengths, weaknesses, and career aspirations. Prepare concise, impactful answers that include specific examples.
  • Questions to Ask: Prepare thoughtful questions to ask at the end of the interview. Inquire about team dynamics, projects you’ll work on, or the company’s future plans. This shows your interest and initiative.
  • Follow-Up: Send a thank-you email within 24 hours of the interview. Express your appreciation for the opportunity and reiterate your enthusiasm for the role. This can leave a positive, lasting impression.

The bottom line? Be prepared. I there’s a technical test component, preparedness will help open up your bandwidth for better performance. Speaking of the technical component…

Acing the Technical Test in Test Automation Engineering Interviews

The technical test is a critical component of the interview process for test automation engineers. It’s designed to assess your coding skills, understanding of automation frameworks, and problem-solving abilities. 

Success in this phase requires two things:

  1. Technical knowledge
  2. A strategic approach to preparation and execution

With that in mind, here are some insights and strategies to help you excel.

Preparation Strategies

  • Master Core Concepts: Confirm you have a solid grasp of programming languages relevant to test automation (e.g., Java, Python, JavaScript). Understand the syntax, common libraries, and best practices.
  • Deep Dive into Automation Tools: Gain hands-on experience with key test automation tools and frameworks (Selenium, Cypress, Appium, etc.). Understand their architecture, capabilities, and limitations.
  • Understand Testing Frameworks: Be familiar with testing frameworks associated with your programming language of choice (JUnit, TestNG, PyTest, Mocha, etc.). Know how to structure tests, assertions, and reporting.
  • Practice Coding and Algorithm Skills: Regularly practice coding problems on platforms like LeetCode, HackerRank, or CodeSignal. Focus on data structures, algorithms, and commonly asked questions in automation interviews.
  • Build a Portfolio Project: Develop a project that showcases your automation skills. For example, create a comprehensive test suite for a public API or a web application. Include diverse test cases, such as functional tests, integration tests, and end-to-end tests.

During the Technical Test

  • Read the Problem Carefully: Take the time to thoroughly understand the problem statement. Ask clarifying questions if anything is unclear before you start coding.
  • Plan Your Approach: Before jumping into coding, outline your approach. Think about the structure of your code, the classes and methods you’ll need, and how you’ll test your solution.
  • Write Clean and Readable Code: Use meaningful variable and method names, adhere to coding standards, and comment your code where necessary. Clean, readable code is as important as a working solution.
  • Test Your Code: Write unit tests for your solution to demonstrate your testing mindset. This will show your solution-focused approach and ensure your code is robust and error-free.
  • Discuss Your Thought Process: While coding, articulate your thought process. Discuss the trade-offs you’re considering and why you’re choosing a particular approach. This communicates your problem-solving strategy to the interviewer.

Watch the class on preparing for coding interviews and creating algorithms:

Post-Test Discussion

  • Be Ready to Explain Your Solution: Be prepared to walk through your code, and explain your logic and the choices you made. Be open to feedback and ready to discuss alternative solutions or improvements.
  • Reflect on Optimization: If there are ways to optimize your solution, discuss these as well. Demonstrating this level of think-through and humility shows your teachability and proves your drive for excellence and efficiency.

Continuous Learning

  • Seek Feedback: After the interview, reflect on the technical test. If the interview team offers feedback, use it constructively to identify areas for improvement.
  • Stay Updated: The field of test automation is ever-evolving. Stay up-to-date with new tools, frameworks, and best practices. Continuous learning is key to staying competitive in the tech industry.

I’ll say it again: The technical test is not just about finding the right answer. It’s also about showcasing your problem-solving skills, your coding standards, and your communication abilities.

Negotiating Your Way to Success

With the recent movement toward pay transparency, many companies openly publish the salary range for a role in the listing, making things a whole lot easier.

Still, many companies don’t, and there’s a good chance you’ll be required to negotiate salary eventually—if not from scratch, at least within the listed range. 

Salary negotiation is an integral part of the interview process that can’t be overlooked. To put your best foot forward, do your research before you interview, and know your worth. 

It should be easy. Most of the big job posting sites have comprehensive calculators you can use to drill down by role, location, years of experience, and even whether the role is remote, hybrid, or on-site.

Most importantly, I urge you not to sell yourself short. Your skills are hard-earned and in demand. Do research and use wisdom and critical thinking, then ask for a fair wage that meets your needs.

The Engenious Path Forward

For those aspiring to transition into test automation engineering—especially if you’ve been at it and haven’t found a job—this journey might seem daunting. 

It could be that you just need that nudge in your skillset to get you over the hump. If that’s the case, our  Advanced iOS Test Automation with XCUITest course could be exactly what you need.

The course is designed to give you the additional education you need to get the job and excel in the role.

The Takeaway

At Engenious University, we recognize the challenges of manual QA testers eager to advance their careers. That’s why we offer free resources like this blog you’re reading now. 

If you’ve still got questions, you can even sign up for a free 30-minute mentoring session with me (it’s really free!). 

From preparing an impactful resume to engaging in meaningful discussions with hiring managers and skillfully navigating interviews, each step in the process is a building block toward success. 

And when you’re facing a need for further education or skill enhancement, Engenious University stands ready to support ambitious professionals in their quest to land their dream test automation job. Embrace the journey with resilience, preparation, and the optimism that the right opportunity is just around the corner.

Can GitHub Copilot Replace Automation Testers?

With the explosion of AI in just about every sector of the technology industry, many mobile SDETs are asking themselves if test automation tools like GitHub Copilot will eventually put them out of a job in the future. It’s a fair question to ask given the big moves tech companies are making to incorporate AI into their processes more and more. However, it would seem that GitHub is banking big on their AI test automation tool Copilot, so the real question is “Should automation testers be worried?” 

Recently, our own Engenious Founder and CEO Igor and I hosted a webinar called “Can GitHub Copilot Replace Mobile SDET?” During this session, we discussed the capabilities, applications, and implications of using GitHub Co-Pilot in the realm of mobile test automation. Before we continue, a little about me–I am Oleksandr, an iOS test automation guru with many years of experience working with many big-name brands on intense automation and iOS development.

In case you missed it, check out the webinar below:

Will AI Make Test Automation Jobs Unnecessary?

The idea for the webinar came from an off-the-cuff conversation between Igor and I about the possibility that such a powerful AI-driven test automation tool could possibly replace engineers and revolutionize test automation services moving forward. Understandably, many engineers are nervous about being replaced by software. Igor and I decided to tackle this scary topic by mapping out precisely what GitHub Copilot is, its practical uses, and possible limitations of the technology.    

To put these fears about being replaced by AI into perspective, I decided to try out GitHub Copilot for myself to see what all the hype is about, how it handles test automation framework and automated UI testing tasks, and how it compares with a knowledgeable iOS development ninja like myself who wields XCUITest with finesse.

What is GitHub Copilot?

The best way I can describe Copilot is an AI-driven test automation tool that suggests code completions as developers type out code fragments by turning natural language prompts into coding suggestions based on a project’s context and style conventions. It uses technology pioneered by Open AI to craft a program that can anticipate the code you want to create based on your input and predetermined conditions. GitHub Copilot was created in 2021 with the purpose of providing intelligent code completion suggestions in real time to the user. 

Pricing

Key Features of GitHub Copilot

As with most AI-powered tools, Copilot comes loaded with some cool features that any developer is sure to like:

  • Intelligent code suggestions: Code completion suggestions populate based on the context of what you are coding for as well as what code has already been written by a user.
  • Wide-ranging language support: Copilot will be compatible with many popular programming languages and frameworks, including Javascript, Python, Ruby, and others. Additionally, the tool is trained to accept languages that appear in public repositories. It’s important to note that the quality of code suggestions may also be affected by individual language data training and volume.
  • Adaptation to personal coding style and preferences: Copilot will study the nuances, habits, and actions you take when coding to better anticipate your preferences when making coding suggestions for line completion. This level of personalized code suggestion helps users to code faster with less errors and inconsistencies. 
  • Continuous learning: The program learns your preferences more quickly from user feedback and the more experience it has observing individual coding styles. 

How to Integrate GitHub Copilot into Xcode

  • Step 1: Sign into GitHub to enable the Copilot feature
  • Step 2: Download CopilotForXcode extension from the Releases tab
  • Step 3: Enable the extension in your computer settings by following this sequence:
    • Settings > Privacy & Security > Extensions > Xcode Source Editor > Select Done
  • Step 4: Link the extension to GitHub Copilot account

Use Cases for Test Automation

GitHub Copilot has proven itself to have many aces up its sleeve in terms of capability and flexibility in its usage by developers to make their work more efficient:

  • Rapid prototyping: Helps developers generate code snippets on the fly and enable faster experimentation and iteration during the prototyping phase.
  • Learning new languages: Acts as an educational tool to assist developers in learning new programming languages or frameworks by providing real-time coding suggestions based on syntax and best practices.
  • Code exploration and discovery: Assists users in exploring code basics by suggesting relevant code snippets for increased understanding of existing projects or when contributing to open source repositories.
  • Boilerplate generation: Common task boilerplate code generation saves time as well as helps with setting up project structures, handling configuration files, or creating standard code patterns.  
  • Consistent code styling: Maintain consistent code styling patterns across projects by generating code suggestions that align with established coding standards to reduce style inconsistencies. 
  • Documentation generation: Suggests descriptive and well-structured comments for documentation purposes to increase overall readability of code base.
  • Refactoring purposes: Suggests alternative code snippets that are potentially more efficient to aid in code optimization with less manual effort required.

GitHub Copilot in Action

During the webinar, I went through three separate demos to showcase the functionality of GitHub Copilot in real time. Click on the links below to see the demos:

Duplicate Existing Test

In the second demo, I show how the same functionality of the first test can be duplicated for another restaurant. By initiating a function definition command and a restaurant name change, Copilot fills in the code from the previous test with the new restaurant name to match the new request. This ability to replicate lines of code from another test is game-changing in terms of efficiency. This demo shows how if you organize your prompts and coding correctly, you will get better results from Copilot. 

Create a UI Test

For the third demo, I begin a brand new coding template within Copilot that will not be informed by the previous demos–I start with a clean slate. From the beginning, Copilot is able to use its analysis of what I coded before in terms of style and format to make suggestions based on the context of where I am in the coding sequence. For example, in typing my first function definition, it knew that there should be an application initialized at the beginning. Copilot uses precedents set by the user to make better suggestions as code is typed in. 

Prepare for Coding Interviews with GitHub Copilot

Another neat trick that GitHub Copilot offers users is the ability to compile work examples to present to potential employers during challenge interviews. We understand that going through the interview process is already nerve-wracking on its own, so throwing in requests to demonstrate your coding skills is just the cherry on top to make things that much more complicated. 

However, being able to create and compile real-world work examples with AI-guided assistance might just lead to automation testing jobs that you might not have considered. Nothing quite beats evidence of real-world experience! 

  • Code examples and snippets: Create coding examples that you can present to your potential employers that are relevant to their business or tasks you expect to complete to express how you can add value to their team and understand their industry.
  • Code understanding and explanation: Demonstrate your understanding of complex coding actions and algorithms by providing vivid explanations and comments alongside the very same generated code you are explaining.
  • Practice: Get some practice in by having Copilot generate solutions to coding problems so you can sharpen your skills and gain experience solving such problems; additionally, you can work on solving common questions you might encounter in interviews to ensure you are well-prepared for a variety of coding techniques.
  • Code review: Learn to better review existing code to look for ways to improve or optimize what you have already created prior to showing it off in an interview setting; additionally, being able to review code 

PLEASE NOTE: While Copilot can certainly be helpful in giving you ample opportunity to practice your coding craft and develop workable examples to win your interviews, do not depend on it to act as a replacement of your hard-earned skills or your understanding of principles and concepts that govern code creation. Interviewers will certainly ask you to explain such concepts to them without the assistance of any AI. It is a best practice to only treat Copilot as a helpful tool like many others, and should be treated as such to amplify the skills and knowledge you already possess.

GitHub Copilot Solving Problems

In the webinar, I gave three demonstrations of how a developer can utilize GitHub Copilot to solve common examples of practical coding problems you might come across in your work.

Palindrome Challenge

In the first demo, I prompt Copilot to come up with a solution to the infamous Palindrome problem. I set a standard in the beginning to define what a palindrome is and what to do if one is encountered. From there, Copilot realizes that I am trying to solve the Palindrome problem when I begin typing function definition codes. Suggestions are made by Colpilot based on the Palindrome standard set in the beginning to solve the problem. 

Recursive Palindrome

For the second demo, I explore what happens when the suggestions to the Palindrome problem are not acceptable. We may want to be more specific in our request to get a more recursive solution, so the recursive stipulation is added to the function definition. Doing so reveals an additional sub-function that takes three attributes instead of just one.

Writing Tests

During the third demo, I try out multiple test functions to see how they handle trying to solve the Palindrome problem to see which ones work best. In this example, I test for odd and even numbers of characters in the code. 

GitHub Copilot Advantages

Now that we have covered the what GitHub Copilot is, its functionality, and how best to implement it, let’s quickly summarize what makes the AI tool great for developers:

  • Intelligent suggestions for faster development: Copilot provides context-aware code completions utilizing knowledge from vast data sets. Additionally, it learns from your coding style and tailors its suggestions to match the precedents you set in relation to syntax and context. 
  • Accelerated onboarding: New team members can be provided specific tasks that can be generated by Copilot to ensure they understand their role quickly. Additionally, the tool can help to create code completion templates for common tasks to simplify learning of complex code structures.
  • Increased confidence: Even the most experienced developers can feel unsure of themselves when coding for something out of their wheelhouse. Copilot provides extra guidance when needed to help navigate new, unfamiliar tasks and make intelligent suggestions to boost the confidence of developers who use it to be more efficient and accurate.

Potential Challenges and Solutions

Just as there are many benefits to using auto-generated lines of code when you are in a groove, there are just as many challenges to address and keep in mind when utilizing AI-driven tools like GitHub Copilot. Here are some potential pitfalls to avoid when consulting AI to finish your tasks:

  • AI suggestions can be distracting when creating your logic: Depending on your level of focus, Copilot may make too many code completion suggestions; too many interventions from the tool can be overwhelming for some developers, forcing them to lose concentration and ultimately slow productivity. 
  • Develop an over-reliance on suggestions: Whether due to complacency or a lack of vigilance, some developers may make the mistake of taking just about every code completion suggestion from Copilot without evaluating its validity or contextual accuracy.

The Verdict: Will AI-Driven Tools Replace Engineers in Test Automation?

The short answer is: no, at least not any time soon. By the end of our conversation, Igor and I had concluded that while AI-powered test automation tools like GitHub Copilot are impressive in its capabilities and ability to adapt to developer coding habits, it’s not so smart that it can totally replace the human element in mobile app development. A person is still needed to assess every code completion suggestion to ensure that it fits the context of the task as well as its purpose. 

So for now, relax and take solace in the job security of your hard-earned career creating iOS apps, my fellow developers. In fact, I suggest that you at least do a trial run of Copilot to see how it suits your coding style and find out for yourself if AI can help you to be more efficient and productive.

Thanks for joining us on this very critical crossroad of human ingenuity and AI capability. Be sure to sign up early for all Engenious University webinars to reserve your seat and participate in the conversation live! If you cannot make it, no sweat–registered people get a recording of the webinar sent to them FREE. See you at our next great conversation!    

From QA to Test Automation Engineer: A Guide to Elevate Your Career

Learn how Igor Dorovskikh, CEO and founder of web and mobile development company Engenious.io, navigated the shift from manual QA tester to test automation engineer without quitting his day job.

Imagine shifting your career from the traditional role of manual QA to the trailblazing sphere of test automation—without having to resign from your QA testing job.

Sounds too good to be true, right?

I’m here to tell you it’s not and to show you that my own career path is living proof.

From the bottom floor of manual testing at tech giants like Barnes & Noble, Expedia, and Apple, I’ve navigated my way up to spearheading test automation initiatives as an engineering leader at Tinder. 

Today, I’m the founder and CEO of my own app development company.

It was hard work but worth it. In today’s rapidly evolving software development landscape, the role of test automation can’t be overstated. 

Automation is an absolute hero of efficiency, precision, and unparalleled quality in our development processes.

If my journey has taught me anything, it’s the invaluable role test automation plays in fostering progress. (Plus, it pays way better and is way more interesting than manual QA.)

If you’re ready to join up but you’d rather not upend your life, you’re in the right place. 

In this post, you’ll get an overview of test automation, and I’ll clue you in on some things to consider when deciding whether to go the Android, iOS, web, or back-end app development route.

Best of all, you’ll get the lowdown on how I transitioned from QA tester to test automation engineer without quitting my day job.

So, let’s get to it!

Section 1: Understanding the Foundations

The Basics

You’ll be pleased to know that the transition to test automation begins with a deep-rooted understanding of manual testing. I know now that my early days in the trenches, learning the ins and outs of software testing cycles, were critical to laying the groundwork for my later success in automation. 

It’s crucial to grasp the essence of manual testing before adding the complexity of automation into the mix.

For example, for iOS, you need an understanding of Swift (or something similar) and the Xcode development environment. This knowledge will be crucial when the time comes to learn how to work with XCUITest (and that time will come).

All this is to say, be patient and don’t lose heart. 

All the basic stuff you’re learning now is part of the process. Put your heart into manual testing now, and you’ll be a better test automation engineer later.

Resolving the “Chicken or the Egg” Dilemma

The “chicken or egg” dilemma is a common starting point in the test-automation journey: Should you first dive into programming or start with learning automation tools? 

I’ve come to advocate for a balanced strategy that’s served me well over the years. 

A solid understanding of programming and the development environment is crucial. For me, mastering languages relevant to my domain and understanding how to leverage development tools were stepping stones to creating efficient automation scripts.

Therefore, it’s really important to grasp the basics of the programming language most relevant to your domain. If you’re in the iOS realm, Swift is an excellent starting point for beginners.

Understanding the development environment and getting a feel for basic app development will lay the groundwork for what comes next.

Choosing Your Domain

Specialization is king. Whether web, iOS, Android, or back-end, picking a domain and becoming proficient in it is essential. Your specialization will make you a valuable asset and will open doors to tailored opportunities in test automation. There are a couple of important factors to consider when deciding which route to take, one of which is pay.

As you can see below, the pay differential (listed highest to lowest) is significant. According to Indeed.com, the average back-end developer pulls in more than twice as much as the standard web developer:

back-end – $157,188

Android – $128,802

iOS – $125,661

Web – $79,788

However, Mom was right: There’s more to life than money.

When making your decision, ask yourself what you enjoy doing most. After all, this may be your job for the rest of your life. 

And a few hundred thousand dollars aren’t worth it if you’re miserable.

👉 IMPORTANT POINT
Regardless of your preferred platform, if you’ve got a manual QA job, stay where you’re at. If Android would make more sense than back-end automation at your job, go with Android. 
You’ll get a foundation in automation, and you can always learn your preferred platform later on.

Building a Portfolio

Showcasing your skills through a test automation engineering portfolio is your ticket to demonstrating your worth.

For my portfolio, I picked projects highlighting my ability to use automation to streamline testing processes and improve efficiencies. What you include will depend on your industry and interests.

Mobile is currently the trendiest industry. Since the world is focused on mobile, consider incorporating at least one mobile test automation project.

PRO TIP: Include more than just a basic sign-in process in your portfolio. Instead, display complete examples of how your code works across different pages.

Whatever your specialization, your portfolio should reflect two things:

  1. Your technical capabilities
  2. Your ability to solve testing challenges using innovative solutions

Section 2: Finding Your Opportunity

Learning by Doing

To echo Aristotle, “For the things we have to learn before we can do them, we learn by doing them.”

It’s ironic but true. To start with test automation, you have to dive in and start doing it.

My first foray was at Barnes & Noble when I had the opportunity to automate the web reader using Java, TestNG, and WebDriver.

That’s precisely the type of hands-on, real-world application experience you need to learn the ropes. You can also find opportunities at your current job as a manual QA. Just give it some thought, and keep reading.

Choosing a Real Project

Identifying the right project to apply your automation skills is key. Ideally, you want to find opportunities that:

  • Challenge you
  • Have a tangible impact on your team’s efficiency

Look for the pain points in your current processes and try to address them through automation. 

For example, what’s that super slow manual process everyone complains about? Is the process automatable? If so, set to work figuring out how to make it faster with automation.

The great news is that you’re not alone. There are tons of online resources available to help you figure things out.

You can start with Engenious University’s collection of free materials. We’ve got:

You can even do a free 30-minute consult session with one of our industry-leading engineers.

What if You Don’t Have Access to Automation Opportunities?

You might work at a non-tech job, have a QA job without automation opportunities, or be unemployed. 

In those cases, you’ll have to find your own automation opportunities. But don’t worry!

There are endless open-source projects out there. All you have to do is find the right one and get involved. To find an open-source initiative that fits your plan, just do a quick Google search.

Section 3: Take the Deep Dive

How I Dove In

At some point, you’ve got to go for it and start automating. You’ll make mistakes and might even break something and have to fix it. But failure is part of the process, so expect, embrace, and learn from it.

Following is the balanced learning path I took, step by step. It’s also what I recommend to anyone standing at the crossroads, wondering whether to tackle programming languages or automation tools first.

  • Building a simple app helps you grasp the fundamentals of the development process, making it easier to understand where and how you can apply test automation effectively.
    It lays a practical foundation for learning how to automate tests by giving you a firsthand look at the application flow, behavior under different conditions, and points of potential failure, all of which are critical for crafting meaningful automated tests.
  • Initiating automation with basic tests is an excellent early step in learning test automation. It allows you to gradually familiarize yourself with test automation frameworks and tools without becoming overwhelmed.
    This approach helps build confidence and competence by tackling manageable tasks, laying a solid foundation for understanding more complex testing scenarios and automation concepts.
    Over time, as my understanding deepened, I refined these tests and ventured into more advanced concepts like CI/CD integration, network mocking, and parallel test execution.
  • Mastering Git, GitHub, and CI/CD Tools—Proficiency with these tools is non-negotiable. Automation tests inevitably become a part of the development process, requiring familiarity with version control and continuous integration tools like Jenkins.

Then, I progressed to using XCUITest for automation. With this iOS-tailored tool, I could apply my understanding of the Swift programming language and app development to create efficient and effective automated tests.

This phased approach made the transition to test automation smoother and ensured that I built a solid foundation in programming alongside my automation skills.

Test Automation Frameworks and Tools

It’s essential to familiarize yourself with the most commonly used test automation tools and frameworks. 

Learning to navigate through tools like WebDriver and frameworks like TestNG was pivotal during my transition. Each tool and framework has unique advantages and uses cases, and understanding which to apply and when is key to effective automation.

The list of commonly used automation platforms and tools below will get you started, but this is one of those things where you can never stop learning:

  • Selenium: Web automation testing across different browsers and platforms
  • Appium: Mobile automation for iOS and Android apps
  • Espresso: Android’s UI testing framework for fast feedback
  • Robotium: Simplified Android UI testing, primarily for black-box tests
  • LambdaTest: Cloud-based cross-browser testing platform
  • Frank: Automated iOS testing, supports cucumber framework
  • ACCELQ: Codeless test automation and management for web and API.
  • Cypress: Developer-friendly test automation for modern web applications.
  • XCUITest: Apple’s UI testing framework for iOS apps.

Section 4: Showcasing Your Expertise

Your Resume and LinkedIn

A solid LinkedIn profile and resume are potent tools for highlighting your automation expertise. 

I’ve learned to showcase not just my skills but the impact of my work through quantifiable achievements and detailed project descriptions. Following are some additional essential tips:

  • Emphasize Automation Skills: List languages and tools like Selenium and Appium.
  • Detail Projects: Describe automation projects, tools used, and results.
  • Include Certifications: Add relevant courses and certifications.
  • Quantify Achievements: Highlight how you improved processes or efficiency.
  • Professional Photo: Ensure a professional LinkedIn appearance.
  • Active Engagement: Share and comment on industry-relevant content.

These tips give you a great start, but a lot more goes into marketing yourself. Consider a resume or LinkedIn specialist, or look into EU’s job prep resources.

Networking and Community Engagement

Networking and community involvement will supercharge your job hunt efforts—and the best part is that they’re fun!

Attending meetups and conferences and engaging with online communities like LinkedIn and Discord have opened up so many new avenues for learning and career opportunities for me.

That’s why EU has an exclusive Discord community for our students, where they can interact with one another and industry experts.

Join our community of professionals on Discord!

Join EU Discord

Engaging through content creation is another awesome way to network. It can also help establish you as a thought leader in automation testing.

Not only that, but sharing your journey and insights through platforms like YouTube or GitHub enriches your own journey, allows you to give back to the community, and supports your growth.

I’ve learned the effectiveness of this kind of engagement from personal experience.

Section 5: Landing Your First Automation Job

Applying Within

It’s a no-brainer. If you already work in tech, look for automation opportunities within your company.

Leveraging my existing network and showcasing my newfound skills led to countless new roles instrumental in my career progression.

Choosing the Right Path

If you don’t work in tech, don’t work period, or don’t like your tech job, you’ve got a decision to make.

There’s a big difference between working for a startup or an established corporation. Each has pros and cons, so familiarize yourself with them and think hard before you decide.

You’ll also need to determine the level of position to aim for. Research the roles and requirements for various test automation jobs, then do an honest self-assessment before you send out applications.

software tester career path from https://www.payscale.com/career-path-planner?tk=nav-individuals

https://www.payscale.com/career-path-planner?tk=nav-individuals

I’ve always carefully weighed all the options and all the pros and cons based on my career aspirations and personal growth goals. This decision-making process has been a decisive factor in getting me to where I am today.

Prepare for Interviews

To be ready for interviews, you’ve got to take a deep dive into the theoretical and practical aspects of test automation. And it’s a good idea to reach out to experienced engineers for advice.

In my webinar, I plan to share insights into the interview process to help prepare candidates for what lies ahead. (Spoiler: It’s free to attend!)

For now, the following quick tips can help you start wrapping your mind around the interviewing process:

  • Understand Core Concepts: Understand test automation fundamentals, such as frameworks, test case design, and the difference between black-box and white-box testing.
  • Know Your Tools: Have hands-on experience and theoretical knowledge of key tools (see the list above) and programming languages relevant to the role.
  • Explain Your Process: Be prepared to discuss how you approach writing, maintaining, and optimizing automated tests. Include how you select what to automate.
  • Discuss Challenges: Talk about challenges you’ve faced in test automation and how you overcame them, highlighting problem-solving skills.
  • Showcase Projects: Bring examples of projects you’ve worked on. Be ready to explain your role, the tools used, and the outcomes.
  • CI/CD Knowledge: Understand Continuous Integration/Continuous Deployment (CI/CD) pipelines and how automated testing fits within them.
  • Version Control: Be familiar with version control systems like Git, emphasizing collaboration and code management in automation projects.
  • Prepare for Technical Test: You may be asked to write or review code. Practice coding exercises and review your own projects’ code. (Ideally, have an experienced engineer review it, too.)
  • Soft Skills: Communicate clearly, show teamwork and adaptability, and demonstrate a continuous learning mindset.
  • Ask Questions: Prepare insightful questions about their automation processes, tools, and team dynamics to show interest and assess if it fits you.

Check out our quick video tutorial:

engineering interview preparation
engineering interview preparation

Section 6: Continuous Learning and Growth

Staying Updated

In the fast-paced world of test automation, staying up-to-date with the latest tools, trends, and techniques is essential.

The best ways to accomplish this are networking (see above), online courses, and online informational resources, like blogs. Below is a list of some of the top informational resources to get you started:

  • Engenious University Blog (of course 😉): Insights and tutorials on the latest in software testing and automation
  • LambdaTest blog: Updates and tips on cross-browser testing and test automation tools
  • Guru99: Comprehensive guides and tutorials for beginners in software testing and automation
  • Trishkhoo: Expert advice on continuous testing and DevOps practices

Set aside time to seek new learning opportunities and discover what’s new in best practices regularly. It’s the only way to keep your skills relevant and competitive.

Wrapping Up

My journey into the realm of test automation has been a path of continuous learning, growth, and opportunities— filled with challenges and rewards. 

The best part? It’s allowed me to explore new career horizons without stepping away from my roots in manual testing.

By focusing on specialization and leveraging the power of networking and continuous learning, you can also transform your career and enter the pioneering world of test automation.

Embrace the journey! Take advantage of every opportunity to learn by doing and connect with the dynamic community of test automation professionals.

If you do all this, you’ll be well on your way to becoming the next super-elite test automation engineer.

Start by saving your seat in my upcoming webinar:

Save My Seat

Accelerate your journey from QA to Developer—your future starts now!

Do you have any questions about transitioning to test automation? I’d love to answer them! Please ask away in the Discord!

Test Automation Tools For Visual Testing in 2024

The visual testing landscape for mobile test automation has only gotten more complex over the past few years, but so have the test automation tools that are now available. We engineers all have our preferred methods for getting optimum results, but when you are spoiled for choice, which visual testing tool is going to suit your style the best? 

Before we get started, introductions are needed: I’m Daria Krasulia, an iOS SDET, developer with significant experience performing visual test automation for Native iOS apps across several companies. 

In this article, I will discuss the role visual testing plays and how it should be used when evaluating what users see when they use your app. I will also share my initial thoughts about five test automation tools that have risen to popularity within the visual testing community–the good, the bad, and the “maybe useful, depending on your needs.”

What is Visual Testing?

For those of you who are new to visual testing or just need a refresh, this part of the app development process is when developers like me evaluate an app’s visuals page by page to locate any anomalies, errors, or UI visual defects. I believe that as the field of visual testing has matured since 2010, it has grown far beyond simple image comparisons and finding visual defects. 

Why Do You Need Visual Testing?

Unlike deep link testing, cross device testing, performance testing and other types of testing, visual testing focuses on verifying that the user interface of an application appears correctly to the end user across different devices and browsers. Visual testing for mobile apps is necessary to locate and fix any errors in how the app presents visual information to a user. If the UI is unintuitive, missing critical information, or does not live up to the needs of the intended user, the app is likely to fail. To ensure maximum user-friendliness and effectiveness, every aspect of an app’s visual presentation needs to be perfect for the purpose for which it is intended. 

However, testing EVERY aspect of an app’s visuals can be an arduous task for any developer simply based on the time required. Since there are just not enough hours in the day, we turn to test automation tools to help get the process done under reasonable deadlines.

Other Ways to Use Visual Testing Automation

The visual test automation tools can do much more than validating correct imagery and mobile app functionality. Here are some other aspects to consider when performing your visual tests:

Localization: Finding localization issues can play a much bigger role in the process for finding errors in language translations or missing translated strings that we simply don’t have the bandwidth for, hence the necessity for automation in visual testing. 

Accessibility: Mobile visual testing automation also makes it much easier for us to scan for accessibility issues so that our mobile apps can cater to users with varying visual or perception disabilities. Designing imagery and other on-screen visuals with accessibility in mind ensures more inclusivity and useability for all customers.   

Figma Design and Implementation: As every developer knows, the road between app design elements, particularly those in Figma, and the implementation of those design elements into an app’s UI does not always translate well. An automated visual testing solution is ideal for finding such translation issues quickly to keep both the designers and engineers happy. 

Daria the Testing Tools Connoisseur  

As a developer, I’m always on the lookout for the best test automation tools that will make my job much more efficient. Recently, one of Engenious’s clients tasked us with heavily researching and testing out the many visual testing tools out there to see which ones were the most effective. After spending roughly a month diving in and trying out multiple tools, I can confidently say that I have come up with a comprehensive list of the top five visual testing tools that you should consider to enhance your mobile testing automation efforts.  

Dive into the story with our video – no reading required!

Evaluation Criteria

Every method has its madness, and so here is mine! I developed this set of criteria in which to base my professional opinions on for each testing tool evaluated:

  • Communication
  • Documentation
  • Mobile and Web Support
  • AI/ML
  • Standalone VS. CI

*These criteria will use a 5-star rating system for your reference (⭐⭐⭐⭐⭐)

PLEASE NOTE: The following is a comprehensive list of tools I tested using my own criteria for what constitutes an effective tool for mobile test automation and not web testing. These findings are based on my own experiences using each tool, and the tools in this list are in no particular order. Engenious is not affiliated with any of the testing tools nor their creators in any way. I encourage you to get the trial versions of the visual testing tools mentioned below and experiment with them to see what will work best for you and your particular business needs.

Percy (BrowserStack) 

percy test automation tool

https://percy.io

FINAL SCORE: ⭐⭐⭐

General Information:

  • Simple and clear UI/UX
  • Easily integrates with CI/CD processes
  • Code changes automatically prompt tests
  • Cloud-based solution for easier management and flexibility when accessing tests, but needs constant connection to Internet
  • Pricing (Mobile): $0.018 – $0.0339 per screenshot, per month  

Communication: ⭐⭐⭐⭐

  • Trial version includes up to 1,000 FREE screenshots monthly
  • Video tutorials are available to familiarize yourself with the platform, but can be time-consuming
  • Company support offers LiveChat with near instantaneous replies to queries

Documentation: ⭐⭐⭐

  • Necessary information is widely available, but is difficult to navigate to find specific answers
  • Specific information may be hard to find due to it being spread across multiple topics
  • Documentation UI was not as intuitive as I would have liked

Mobile and Web Support: ⭐⭐⭐⭐⭐

  • XCUITest support is available
  • Support for a large number of frameworks is available for both mobile and web testing

AI/ML: ⭐⭐⭐⭐

  • Automated visual defect detection is available
  • Percy AI structure focuses on human-visible deviations and minimizes false positives to accurately detect visual deviations, especially for dynamic elements
  • These features were not verified due to the difficulty of uploading a project to make the comparison of AI visual defect detection

Standalone VS CI: ⭐⭐⭐

  • Percy is claimed to be able to perform locally and with CI-configured projects
  • I encountered a number of errors when trying to upload a project (took nearly four attempts); after contacting support about my upload issue, I was told that it would not work without using CI/CD configuration
  • Taking screenshots of the project was not possible

Testim (Tricentis)

testim test automation tool

https://www.testim.io

FINAL SCORE: ⭐⭐⭐

General Information:

  • Clean interface that emphasizes codeless automation, which can be limiting for more advanced developers
  • Option for quick test creation with ability to record and playback user actions
  • Integrates with multiple development tools, CI/CD systems, and code version control systems 
  • Focused on Record and Playback functionality, which can be limiting to more advanced developers
  • Pricing:
    • 500 grid runs start at $450 monthly
    • 1000 grid runs start at $1,000 monthly

Communication: ⭐⭐⭐⭐

  • Informative notification-based onboarding process from Support team
  • NO native visual testing tool available; requires Applitools integration to use visual testing automation (available in the Premium plan ONLY)
  • 15-day FREE trial period includes both real and virtual devices, but has limited functionality 

Documentation: ⭐⭐⭐⭐⭐

  • Well-structured documentation interface with intuitive information organization

Mobile and Web Support: ⭐⭐⭐⭐⭐

  • Mobile and web testing are available
  • Code automation is NOT available due to focus on codeless automation
  • Supports both iOS and Android apps
  • Good for beginners without heavy programming knowledge, but not more advanced programming language input

AI/ML: ⭐⭐⭐⭐⭐

  • AI-enabled user analysis to generate test scripts

Standalone VS CI: ⭐⭐⭐⭐⭐

  • Local testing available
  • CI/CD integration available with both trial and paid versions
  • To integrate with iOS APP, upload an .ipa or .app file to Testim and start recording on either a virtual machine or a physical one (edit recording if necessary)

LambdaTest

Lambdatest test automation tool

https://www.lambdatest.com

FINAL SCORE: ⭐⭐⭐⭐

General Information:

  • Easy-to-use UI
  • Quickly create visual tests
  • NO support for screenshots; external screenshots must be uploaded separately
  • Pricing:
    • $79 – $959 annually
    • $109 – $1439 monthly

Communication: ⭐⭐⭐⭐⭐

  • Trial version includes up to 2,000 FREE screenshots monthly
  • Contact support team directly through dialog box
  • Quick problem resolution (solved my issue within 15 minutes with phone call)

Documentation: ⭐⭐⭐⭐⭐

  • Well-structured documentation with intuitive information organization and very user-friendly interface

Mobile and Web Support: ⭐⭐⭐

  • NO native XCUTest framework available via SDK
  • API interactions only
  • Web testing framework integration through Java, Node, CY, and Webdriver I/O 

AI/ML: ⭐⭐⭐

  • No evidence of AI use or integration

Standalone VS CI: ⭐⭐⭐

  • NO local or CI testing available
  • GitHub integration

Applitools

Applitools test automation tool

https://applitools.com

FINAL SCORE: ⭐⭐⭐⭐

General Information: 

  • Fast and efficient automation
  • Eagle-eyed AI image detection for even the smallest of differences
  • Wide acceptance of various programming languages and frameworks
  • Cloud-based system with available analytics and reporting
  • Pricing: $20,000 – $120,000 annually (unconfirmed since pricing is not made public)

Communication: ⭐⭐⭐⭐⭐

  • Trial version includes 100 checkpoints per month for one user
  • Onboarding includes demo

Documentation: ⭐⭐⭐⭐⭐

  • Well-structured documentation with intuitive information organization and very user-friendly interface

Mobile and Web Support: ⭐⭐⭐⭐⭐

  • Supports native mobile frameworks such as Appium (C#, Java, Python, Ruby), Espresso, and XCUI

AI/ML: ⭐⭐⭐⭐

  • AI-enabled automatic change detection, but AI results can very and still require human checking to ensure accuracy
  • Intelligent image comparison
  • Disregard dynamic elements
  • Reduction in false positives

Standalone VS CI: ⭐⭐⭐⭐⭐

  • Supports CI integration
  • Ultra-fast test cloud available for local testing
  • iOS APP integration available

pCloudy.com

pCloudy test automation tool

https://www.pcloudy.com

FINAL SCORE: ⭐⭐⭐

General Information: 

  • Great for image comparison
  • Pricing:
    • $129 – $1,799 monthly
    • $348 – $4,857 quarterly
    • $1,084 – $15,122 annually

Communication: ⭐⭐⭐

  • Support from team is lacking with slow replies
  • NO support on weekends or holidays
  • NO information on trial versions

Documentation: ⭐⭐⭐⭐

  • Good documentation with intuitive information organization, user-friendly interface, and concrete examples
  • Confusion over which API calls are included in the trial version versus the premium plan

Mobile and Web Support: ⭐⭐⭐

  • Visual testing ONLY supports PNG image files
  • NO code integration
  • Visual testing can ONLY be completed by using pre-built commands or through API

AI/ML: ⭐⭐⭐

  • AI supports functional testing of applications
  • No evidence of AI supporting visual testing

Standalone VS CI: ⭐⭐⭐

  • NO support for local or CI/CD integration
  • iOS APP visual testing possible through API
  • No device booking in trial version

As you can see from my findings, there is not really a clear winner in this competition. Each testing tool brings something different to the table that makes it stand out, for better or worse. Ultimately, it comes down to your personal preference and your existing experience with these apps or similar solutions. 

To see my full talk about these visual testing tools, check out the webinar “What Should I Use for Visual Testing in 2024?

Watch the Webinar

Have you had any experience with any of the visual testing tools mentioned above, or have valuable insight to share about other testing tools not mentioned here? Please share your experiences and knowledge with the community on our Discord channel!

Chat in Discord Community

Don’t miss out on our next webinar From QA to iOS Developer in 6 Months: Mastering iOS Test Automation with XCUItest happening soon! Remember, all registrants have access to the recording, so sign up today and reserve your spot!

Webinar From QA to Dev in 6 Months
Webinar From QA to Dev in 6 Months

How to Optimize a Manual Tester Overwhelming Work Schedule?

Challenges Faced by Manual Testers

Here’s an important fact: manual testers are often caught in dead loop cycles, not just manual testers, but also product managers and project managers. They are always in endless release cycles and get overwhelmed. But why are testers the worst affected? Think about the continuous integration, continuous testing, and continuous delivery processes that companies try to push as the “shift left” concept. QA manual testers, or quality assurance engineers, are still the major bottleneck. Why? Because they get stuck in this testing death cycle – meetings, planning, being part of the release team, doing regression testing, and so much more.

Manual QA Day-to-Day Activities

You have to draft test cases, plan during the testing cycle, work with developers, sync up continuously to get requirements, run the regression, be part of release and post-release checklists, file bug reports, ensure the bugs are not stale, conduct bug triage with teams, and more. This is just the tip of the iceberg for what manual testers do today. And you don’t do it just once; it’s a daily, weekly process without room to breathe. As projects grow, new features are added, meaning more testing, and it never feels like there are enough resources. In Silicon Valley, they say there’s never enough testing.

The Endless Cycle of Manual Testing

How Many Testing Types Do You Do as a Manual Tester in 2024? 

The types of testing you conduct are extensive: functional UI, exploratory, analytics, localization, accessibility, API testing, and more. This is not a comprehensive list. You cannot free yourself from all these activities. You have to test all of it. The outcome of this process is burnout. Many folks I’ve taught complain about getting burned out in just months. They start missing facts, don’t have time to learn new skills, and can’t learn things like test automation. Basic skills like Linux, networking concepts, and others are essential, but how can you learn if you’re caught up in these daily activities?

How Do You Get Out of This Loop?

So, how do you get out of this endless release process and non-stop action? The answer is to switch to a different role. As a manual tester, you cannot get out of this loop ever. That’s what I figured out in 2011 when I was a manual tester at Barnes & Noble, testing the digital e-reader Nook. I realized that if I didn’t do anything about it, I would be burned out and quit. So, in 2012, I started heavily investing in coding and tried to learn test automation as soon as possible.

But how can you learn something if you’re already stuck in these endless processes? 

Automation Engineering as a Solution

Hard Commitment and Soft Commitment Roles

Why call an engineering job a soft commitment? Because there’s also what’s known as a hard commitment job, like software developers. Developers have to develop features and fix bugs, and if they don’t do that, it’s very visible. The project manager assigns a certain number of story points to develop a feature, and if you’re not done, you have to work overtime to finish it. So, there’s always a hard commitment and a burden on your shoulders to deliver something on time. An engineering job, like an SDET (Software Developer Engineer in Test) or an Automation Engineer, is a soft commitment. Here’s why this is the way to get out of the manual testing trap.

Who Is an SDET?

An SDET is more of a technical role of a software developer rather than a QA. You’re not going to be a quality assurance engineer anymore; you’ll be a developer, only working on the testing infrastructure. You will be the facilitator, not the executor. This means you’ll work on your backlog of automation, which will come from the manual testers, not from the product team. 

You’ll estimate your tasks, putting the estimates you want. Say it’s going to take you three or four story points, or if it’s in hours, you make your estimates. You will make your automated tests in CI and fix them if they get broken. You’ll work on isolated pull requests for your tests, not for the code of the application. So, you can be your boss in what you do with that PR. 

Usually, pull requests for SDETs are very rarely checked by developers, so most likely other SDETs will check. There will be automated checks like all tests are supposed to be green. But again, you’ll be your own boss.

Manual testers, again, should be your major clients. You will talk to them all the time about what should be automated to make their life easier. You’ll write automated tests once and run them after each pull request merge or pre-merge, depending on your setup. But there’s no more manual regression. This is basically going to run as often as the changes from the development team. Every time they open a pull request with some feature changes or a bug fix, it’s going to trigger all their tests. So, you don’t have to do it manually. 

You’ll perform bi-weekly demos of automation tests for the engineering team. This is the way to be transparent, like, “Okay, guys, here’s what I’ve done, here’s the test I’ve automated, do you want to see that?” Manual testers and the product team engineers can be the judge. Again, you’re going to run your own world and slowly exit from this non-stop action because manual testers will continue to do that, and you’re just basically helping them reduce manual regression by automating a lot of things.

Tired of reading? Watch this on YouTube:

What Is the Scope of SDETs Responsibilities?

When it comes to automation, many people immediately think of Selenium WebDriver, but that’s just a fraction of what SDETs do. SDETs handle various tasks, including functional automation, UI automation (like using Apple tools), localization, and accessibility testing. Manual testing of analytics is cumbersome, so automating this process can significantly reduce the workload. SDETs are also involved in backend development, including API, microservices, databases, and backend analytics. 

Now, let’s address a common issue: how can you become an SDET if you’re stuck in an endless loop of manual testing? 

Transitioning out of Manual Testing

No Time to Sharpen You Saw

This is a dilemma many face. You’re busy but need to learn new skills. My advice, based on personal experience, is to communicate your intention to learn new skills to your leadership team. Propose dedicating a few hours each week to learning and set the expectation that you’ll show results for the time given. This approach can convince leadership to support your learning journey.

Ways to Start Automating at Your Current Job

If you’re feeling overwhelmed in your current team, consider moving to a team with fewer commitments. Some teams, like those working on experimental features, might offer more flexibility for learning and experimentation. If you’re struggling to find a project for test automation, start with your current work tasks. Don’t wait for a perfect project; be proactive. 

Once you successfully complete an automation project, it can lead to promotions or better job opportunities. Emphasizing the skills you’ve gained is more important than the number of jobs you’ve worked. It’s about how you manage your roles and what you learn from them. The goal is not just to work multiple jobs but to excel in your career and achieve a work-life balance.

Do I Have to Learn the Programming Language First?

A common pitfall is trying to learn an entire programming language before starting automation. This approach is impractical. Instead, focus on learning the basics to get started. Set a reasonable goal, like automating one test case in a month, and work towards it. Remember, you’re not alone. Collaborate with developers who know the programming language better. They can help you improve your automation scripts.

Your Next Steps

Instead of a motivational speech, I’ll leave here the checklist of things you have to do to Optimize a Manual Tester’s Overwhelming Work Schedule in 2024. I know how overwhelming it may seem if you don’t know where to start. So embrace one point at a time. Good luck!

  1. Decide to switch to an automation role
  2. Explore transitioning to roles like SDET or Automation Engineer, focusing on more technical, independent work.
  3. Start Learning Coding and Basic Automation: – begin with simple test automation projects, enhancing skills through collaboration with developers.
  4. Discuss learning goals with management, proposing dedicated time for developing new skills.
  5. Look for roles or projects within your organization that allow for the practical application of automation skills.
  6. Regularly showcase your automation work and actively seek feedback for improvement.
  7. Continuously evaluate your progress and leverage new skills for career advancement while maintaining a balance between work and personal life.

Join our Discord community to hear from people who’ve done this leap before:

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Discuss what’s bothering you during a free mentorship session:

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