Step-by-Step Guide to Integrate Allure with XCUITest

1. Add JUnit Reporting to Your XCUITest Project

XCTest supports generating test results in JUnit XML format, which Allure can process.

  1. Modify Your Test Execution Command:
    • Use the xcodebuild tool with the -resultBundlePath or –resultBundle option to generate test results.
xcodebuild test \
-scheme YourAppScheme \
-destination 'platform=iOS Simulator,name=iPhone 14,OS=16.0' \
-resultBundlePath TestResults
  1. Export JUnit Reports:

Use the xcresulttool to extract JUnit-compatible reports:

xcrun xcresulttool get --format junit --path TestResults.xcresult > TestResults.xml

2. Install Allure Command-Line Tool

Install the Allure CLI tool, which will process the JUnit XML files and generate Allure reports.

  1. Install Allure:

If you have Homebrew, install Allure:

brew install allure
  1. Verify Installation:

Check if Allure is installed successfully:

allure --version

3. Configure Allure to Use JUnit Reports

  1. Set Up Allure Report Directory:

Create a directory to store the generated Allure reports:

mkdir allure-results
  1. Move JUnit Report to Allure Results Directory:

Copy the generated TestResults.xml into the allure-results directory:

cp TestResults.xml allure-results/

4. Generate Allure Reports

  1. Run Allure Command:

Generate Allure reports from the JUnit results:

allure generate allure-results --clean -o allure-report
  1. Serve the Report Locally:

Launch the Allure report in your browser:

allure serve allure-results

5. Integrate with CI/CD (Optional)

If you’re using a CI/CD pipeline, you can automate this process:

  1. Collect Test Results:
    • Use xcodebuild to run tests and export results during the pipeline.
  2. Generate Allure Reports:
    • Add a script to process the JUnit XML files and publish the Allure reports as part of the pipeline.
  3. Publish the Reports:
    • Use CI/CD plugins or custom scripts to host the generated Allure reports.

Additional Tips

  • Custom Labels and Steps: If you want to add custom labels or steps to the Allure report, you’ll need to process the test results or modify your test cases to include additional metadata.

Use xcparse for Easier Parsing: Tools like xcparse can make working with Xcode test results easier:

brew install chargepoint/xcparse/xcparse
xcparse test-plans TestResults.xcresult allure-results

By following these steps, you can successfully integrate Allure Reports into your XCUITest workflow to achieve detailed and visually appealing test reports.

Why MarathonLabs.io is a Better Choice for XCUITest Reporting and Execution   https://marathonlabs.io

While integrating Allure Reports into XCUITest provides a robust solution for test reporting, using MarathonLabs.io offers significant advantages that go beyond manual integration and setup. Here’s why MarathonLabs.io is the better choice:


1. Seamless Allure Reporting Integration

  • No Manual Setup: MarathonLabs.io comes with Allure Reporting fully integrated, eliminating the need to manually configure JUnit exports, install tools, or maintain reporting infrastructure.
  • Enhanced Visuals: Access detailed, visually appealing Allure reports with zero configuration, enabling you to focus on testing insights rather than setup.

2. AI-Driven Parallel Execution

  • Run Tests Faster: With MarathonLabs.io, you can execute all your XCUITest suites in AI-driven parallel execution, reducing execution times from hours to minutes.
  • Optimized Resource Utilization: The platform intelligently manages resources to maximize efficiency, ensuring tests are distributed and executed in the fastest possible way.
  • Handle Large Test Suites: MarathonLabs.io enables the execution of thousands of tests per PR, making it perfect for scaling large projects.

3. Automatic Maintenance and Housekeeping

  • No More Manual Housekeeping: Marathon Cloud handles all the heavy lifting, including:
    • Cleaning up test environments.
    • Managing simulators and devices.
    • Ensuring stable and clean environments for every test run.
  • Focus on Testing: Spend less time on infrastructure management and more on improving your test cases and framework.

4. Scalable and Reliable

  • MarathonLabs.io ensures that your tests are:
    • Consistently stable, even with complex CI/CD pipelines.
    • Highly scalable, adapting to your growing project needs without additional configuration.

5. Time and Cost Efficiency

  • Save Developer Time: By automating setup, execution, and reporting, MarathonLabs.io allows your team to focus on development and quality improvements.
  • Reduce Operational Costs: No need to maintain local infrastructure for test execution or reporting.

Why Choose MarathonLabs.io?

  • Integrated Allure Reporting: Ready to use out of the box.
  • AI-Driven Parallel Execution: Faster results with intelligent resource management.
  • Fully Managed Cloud: Eliminates the hassle of infrastructure maintenance and housekeeping.
  • Optimized for Scale: Perfect for teams managing large-scale test suites.

Instead of spending valuable time configuring tools like Allure, let MarathonLabs.io streamline your testing and reporting workflows while delivering unparalleled performance and reliability. 🚀

Cognitive Dissonance in Software Testing: The Hidden Battle in Your Mind

You’re running a test suite late at night. The logs are green, the automated script passed, and everything seems fine. 

But a nagging doubt remains: “Did I really test enough?” 

The next day, a bug sneaks into production, and you’re left wondering, “How did I miss that?”

This is what is called cognitive dissonance in software testing—where human psychology silently influences your decision-making. 

Let’s understand how biases shape your work and how you can outsmart your brain to deliver exceptional results.

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The Basics: Understanding Cognitive Bias

What Is a Cognitive Bias?

A cognitive bias is a mental shortcut that helps us make quick decisions, but it often leads us to errors in judgment. 

Our brains crave efficiency, but in the process, we sacrifice accuracy. 

In testing, these biases can mean the difference between catching a critical defect and letting it slip into production.

Common Cognitive Biases in Testing

  • Confirmation Bias: You look for evidence that supports your hypothesis (e.g., that a feature works), ignoring evidence that it doesn’t.
  • Automation Bias: You blindly trust automated test results, even when something feels off.
  • Anchoring Bias: You rely too heavily on initial information, like assuming a feature is bug-free because it passed early-stage tests.
  • Overconfidence Bias: You overestimate your abilities or the thoroughness of your tests, leading to untested edge cases.

The Four Categories of Cognitive Bias

Psychologists often classify biases into these categories:

  1. Decision-Making Biases: Errors in judgment based on shortcuts (e.g., automation bias).
  2. Memory Biases: Relying on recent or vivid experiences rather than objective data (e.g., focusing on the last bug you found).
  3. Social Biases: Influenced by others’ beliefs or trends (e.g., trusting popular tools without assessing their fit).
  4. Cognitive Dissonance: The discomfort of holding conflicting beliefs (e.g., believing you’ve done enough testing but doubting it internally).

Testing requires vigilance against these mental traps. Recognizing them is the first step toward improvement.

Now, let’s understand the two systems of thinking in testing.

The Two Systems of Thinking: Fast vs. Slow Testing

What Are System 1 and System 2?

Daniel Kahneman’s Thinking, Fast and Slow explains how our brain has two modes:

  • System 1: Fast, intuitive, and automatic. This is your gut instinct.
  • System 2: Slow, deliberate, and analytical. This is your logical thinking.

Both systems play a role in testing—but understanding when to use each is critical.

System 1: The Gut Instinct in Testing

System 1 is your inner detective, spotting issues like a strange UI glitch or inconsistent behavior. It’s ideal for:

  • Exploratory testing.
  • Quickly triaging bugs.
  • Spotting anomalies based on experience.

The Problem: System 1 can lead to snap judgments. You might assume a bug is unimportant or overlook its potential impact.

System 2: The Analytical Approach

System 2 helps you investigate deeply, ensuring no stone is left unturned. It’s best for:

  • Root cause analysis.
  • Creating comprehensive test strategies.
  • Validating assumptions with evidence.

The Challenge: System 2 is slower, so over-relying on it can delay decisions or lead to analysis paralysis.

Pro Tip: Combine the two. Use System 1 to spot potential issues and System 2 to validate them rigorously.

Confirmation Bias & The Tester’s Dilemma

What Is Confirmation Bias?

Confirmation bias leads you to favour information that supports your existing beliefs. For example:

  • You believe a feature is bug-free because the developer said so.
  • You test only the paths you think will work, avoiding scenarios where they might fail.

Confirmation Bias arises when your actions conflict with your beliefs. For example:

  • You feel uneasy about shipping a release, but the deadline pressures you to approve it.
  • You ignore warning signs in test results because investigating further conflicts with your belief that the system is stable.

How These Biases Affect Testing

Both biases create blind spots. You may:

  • Overlook critical edge cases.
  • Dismiss test failures as “flukes.”
  • Avoid challenging assumptions, leading to missed bugs.

Actionable Solution: Start a Bias Journal

Keep a log of situations where you:

  • Felt conflicted about a decision.
  • Ignored evidence that later proved important.
  • Made assumptions that impacted test outcomes.

Reflecting on these moments helps you identify patterns and reduce bias in the future.


Automation Bias: The Silent Saboteur in Testing

What Is Automation Bias?

Automation bias occurs when testers rely too heavily on automated tools, assuming they catch everything. This is dangerous because:

  • Automated tests are only as good as the scenarios you write.
  • They can miss usability issues, visual glitches, or context-specific bugs.

Real-World Impact of Automation Bias

  • Example 1: A tester trusts that all edge cases are covered by automated tests, only to find out later that a critical scenario wasn’t included.
  • Example 2: Over-reliance on automation leads teams to neglect manual testing, missing bugs that only a human can spot.

How to Mitigate Automation Bias

  1. Combine Automation with Exploratory Testing: Use automation for repetitive tasks but supplement it with manual testing for edge cases.
  2. Regularly Review Test Coverage: Ensure automated tests are updated to reflect new features and potential risks.
  3. Question Automation Results: Treat green results as starting points, not final answers.

How to Deal With Biases: A Tester’s Toolkit

Accept the Truth: Objectivity Is a Myth

No one is free from bias. Instead of striving for perfect objectivity, focus on recognizing and managing your biases.

Steps to Reduce Bias in Yourself and Your Team

  1. Promote Psychological Safety: Encourage open discussions about assumptions without fear of judgment.
  2. Use Peer Reviews: A fresh perspective often reveals blind spots.
  3. Leverage Metrics: Let data guide your decisions rather than gut feelings.

Practical Tips for Testing Smarter

  • Rotate Roles: Have developers review test cases and testers analyze features. This cross-pollination of perspectives reduces bias.
  • Create Decision Checklists: Before approving a release, verify that decisions are backed by data and have considered all possible outcomes.
  • Review Past Mistakes: Use retrospectives to identify biases that influenced missed bugs or incorrect assumptions.

Why Understanding Bias Changes Everything

Testing is more than a technical skill—it’s an intellectual challenge. When you understand cognitive biases, you can:

  • Identify blind spots in your testing process.
  • Make smarter, data-driven decisions.
  • Deliver higher-quality products with fewer defects.

Your Next Steps

  1. Reflect: What biases have influenced your decisions recently?
  2. Act: Start your bias journal and share it with your team to foster collaboration.
  3. Learn: Dive deeper into cognitive psychology to sharpen your critical thinking skills.

Testing is as much about mastering your mind as it is about mastering tools. When you conquer your biases, you unlock the power to test with clarity, confidence, and precision.


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XCUITest vs. Appium: Which is better for iOS automated Testing?

If you’re tired of waiting for your iOS app test to finish, you’re not alone!

Many developers and QA teams struggle with complex setups and sluggish test executions. This happens when you use outdated frameworks or the wrong test automation tools. 

In this post, we’ll explore the difference between XCUITest vs Appium, helping you make the right choice for your iOS automated testing. 

To deliver perfect, fast iOS apps, you must know the differences between these two frameworks. This will allow you to optimize your testing strategy and provide a seamless user experience.

(Bonus: By the end of this post, you’ll know which framework to use, and how to start with XCUITest for iOS Test Automation using our free course).

Why Testing Speed Matters More Than Ever?

In this fast-paced world, we must release mobile apps faster. It’s no longer an option. It’s a necessity.

The speed of your app launch and the in-app user experience can make or break its success. As more apps compete for users’ attention, there is no room for bugs or long development cycles. 

Here is where choosing the correct test automation framework plays a major role. 

The two most powerful mobile testing solutions are XCUITest and Appium.

But how do you know which one is the right fit for your project? 

Let’s find out.

If you want to read more about cost-effective mobile test automation tools, read our blog below:

What is XCUITest?

XCUITest is a native testing framework from Apple. It tests apps on iOS, macOS, Apple TV, and Apple Watch. It makes iOS app testing seamless and more efficient.

XCUITest is integrated with Xcode. It lets you write tests in Objective-C and Swift. It is fast, reliable and optimized for testing native apps across the Apple ecosystem.

What are the benefits of XCUITest?

Now that you know what XCUITest is, let’s see its key benefits.

  • It is super fast: 

One of the key benefits of XCUITest is that you can start your first test in as little as 15 minutes.

  • Easy setup:

It is embedded in Xcode, so the setup is easy.

  • More reliable:

Compared to other automation frameworks like Appium, XCUITest are more reliable. It allows you to work on the app’s source code and test code at one place. It significantly reduces the time for troubleshooting, allowing you to spend more time on testing.

But remember, 

XCUITest is not a one-size-fits-all solution. If you’re working on an IOS app, it is the best framework for you. But, if you’re working on an Android app, this might not be the right tool for you. Since XCUITest is designed specifically for the Apple ecosystem, it is not compatible with Android apps.

What are the limitations of XCUITest?

While XCUITest is a powerful tool, it also has some limitations. 

  • Limited to the Apple ecosystem: 

It only supports Apple products, such as iOS, macOS, Apple Watch, and Apple TV. So, if you’re working on Windows or Android, XCUITest won’t be helpful.  It’s also not ideal for hybrid apps built with Flutter or React Native which requires cross testing capabilities.

  • No support for web-based applications:

XCUITest lacks support for web applications, since it’s designed specifically for native iOS/macOS apps. This makes it unsuitable for web-based testing scenarios.

Now, let’s check about Appium.

What is Appium?

Appium is a popular mobile app test automation tool. QAs often use Appium to test end-user scenarios for Android and iOS. 

Appium, is an open-source, cross-platform solution. It supports both native and hybrid apps. However, Appium is particularly well-suited for hybrid frameworks like React Native and Flutter, where its cross-platform flexibility really shines.

Now, let’s learn about the benefits of Appium.

What are the benefits of Appium?

  • Cross-platform compatibility:

The biggest strength of Appium is that you can write the test once and run them on both Android and iOS.

  • Better community support: 

Appium is an open-source tool with a large active community which helps in new features and quick fixes.

  • Flexibility with language:

Appium supports multiple programming languages such as Python and Java.

But, be careful. The client-server architecture can slow down your test execution. Also, Appium setup is not as easy as that of XCUITest.

What are the limitations of Appium?

  • Unreliability: 

One of the biggest challenges of using Appium is its  test stability, which hovers around 80% due to the extra layer of NodeJS involved.

  • Slow Test Sharding:

Another Drawback of Appium is Test sharding can be challenging—it’s nearly impossible to run thousands of tests in under 15 minutes for each PR.

  • Multiple Codebases

Maintaining two separate code bases is necessary while testing native apps on both Android and iOS. This is a drawback as it increases the maintenance time and complexity of use.

What are the key differences between XCUITest and Appium?

Now that you know the benefits and limitations of XCUITest and Appium. Let us know the key differences between the two.

When to use XCUITest?

XCUITest is the ideal choice for native iOS, macOS, WatchOS, tvOS applications that need to take full advantage of Apple-specific features and APIs. 

If your app relies heavily on deep iOS integration, such as interacting with the HealthKit framework for health data or synchronizing with wearables like the Apple Watch, XCUITest will deliver superior stability and faster execution due to its native approach.

It’s also a great option for developers who prefer to work within the same codebase and language (Swift/Objective-C) without having to learn new tools.

This is because  XCUITest uses the same environment and integrates seamlessly with the app’s development process.

Moreover, it is perfect for apps that require performance testing under real-world conditions, like measuring resource usage on an iPhone or testing new iOS functionalities like widgets or live activities. 

Indeed, XCUITest ensures that your app runs efficiently within the Apple ecosystem, providing you with precise feedback and results.

When to use Appium?

Appium should be your  go-to choice when you’re working with cross-platform apps that target both iOS and Android.

You must also choose Appium when your application is built using hybrid frameworks like React Native or Flutter. 

It’s a great solution for teams with varied expertise in different programming languages, allowing you to maintain a unified test suite across multiple platforms, saving time and effort.

If you want to know the skills required for mobile performance testing, read our blog below:

Conclusion

By now you must have understood the differences between XCUITest and Appium, and you know which one you should use for your app testing.

Embracing XCUITest for nativeiOS Test is a game-changer for testing strategy.

If you’re a manual tester or a web automation engineer who wants to dive into the world of native iOS automation, we have something exciting for you!

Our free iOS Test Automation course is your golden ticket to mastering this essential skill.

Are you ready to transform your testing journey? 

Join us now and dive into a world of automation! 

Click the link above to secure your spot and unlock the secrets to successful iOS testing.

Don’t miss out—your future in test automation starts here!

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Career Advancement in 2024: How to Stay Ahead in Web Test Automation

The world of web test automation is evolving at an unprecedented pace, and 2024 is shaping up to be a pivotal year for professionals in this field. With new technologies and methodologies constantly emerging, staying ahead in web test automation requires more than just keeping up with trends—it demands proactive learning, adaptability, and a strategic approach to career growth.

1. Embrace Continuous Learning

In the rapidly changing landscape of web test automation, continuous learning is no longer optional—it’s essential. With the rise of AI-driven tools, codeless automation, and new frameworks, the skills that were cutting-edge just a few years ago might not be enough to keep you competitive today.

Key Areas to Focus On:

  • AI and Machine Learning: Understanding how AI is being integrated into test automation will be crucial. Tools that leverage machine learning for predictive testing and test case generation are becoming more prevalent, and having knowledge in this area can set you apart.
  • Codeless Automation Tools: While traditional coding skills remain important, codeless tools like Testim and Katalon are gaining traction for their ability to simplify and speed up the testing process. Familiarizing yourself with these tools can broaden your skill set and make you more versatile.

Advanced Frameworks: Stay updated on the latest versions and best practices for frameworks like Playwright, Cypress, and Selenium. These tools continue to evolve, offering new features and capabilities that can enhance your testing efficiency.

Sign up for our FREE Web Automation course with Playwright

2. Develop a Specialization

While being a generalist has its advantages, developing a specialization can significantly boost your career prospects. In 2024, companies are increasingly looking for experts who can bring deep knowledge in specific areas of test automation.

Potential Specializations:

  • Performance Testing: With the growing importance of user experience, performance testing is becoming a critical aspect of web development. Specializing in tools like JMeter or Gatling can position you as an expert in this field.
  • Security Testing: As cyber threats continue to evolve, the demand for professionals skilled in security testing is on the rise. Tools like OWASP ZAP and Burp Suite are essential for this specialization.
  • Mobile Test Automation: With the proliferation of mobile devices, expertise in mobile automation frameworks like XCUITest, Espresso, and Appium can set you apart from other candidates.

Enhance your automation skills and debunk common myths by enrolling in our free course, Automation with Playwright: Mastering Web Automation with AI.

3. Leverage Networking and Community Engagement

Networking remains one of the most powerful tools for career advancement. Engaging with the web test automation community can provide you with valuable insights, opportunities, and support from like-minded professionals.

Ways to Get Involved:

  • Join Online Communities: Platforms like LinkedIn, GitHub, and specialized Discord channels are excellent places to connect with other professionals, share knowledge, and stay updated on industry trends.
  • Attend Conferences and Webinars: Participating in events like TestCon or STARWEST allows you to learn from industry leaders, discover the latest tools and methodologies, and expand your professional network.
  • Contribute to Open Source Projects: Contributing to open-source test automation projects not only hones your skills but also demonstrates your commitment to the field, making you more attractive to potential employers.

4. Stay Agile and Adaptable

The ability to adapt to new challenges and technologies is perhaps the most important skill for staying ahead in 2024. The landscape of web test automation is fluid, and those who can pivot and learn on the fly will thrive.

Tips for Staying Agile:

  • Experiment with New Tools: Don’t be afraid to step out of your comfort zone and try new tools and frameworks. Early adoption can give you a competitive edge.
  • Seek Feedback: Regularly seek feedback from peers and mentors to identify areas for improvement and ensure you’re on the right track.
  • Stay Informed: Follow industry blogs, podcasts, and social media channels to keep a pulse on the latest developments in web test automation.

5. Build a Personal Brand

In a crowded job market, a strong personal brand can make you stand out. By showcasing your expertise and contributions to the field, you can attract new opportunities and advance your career.

Steps to Build Your Brand:

  • Create a Portfolio: Showcase your work, including case studies, code samples, and project outcomes. A well-crafted portfolio can be a powerful tool in demonstrating your capabilities to potential employers.
  • Share Your Knowledge: Start a blog, contribute articles to industry publications, or create video tutorials. Sharing your insights and experiences can position you as a thought leader in the field.
  • Engage on Social Media: Regularly post about your experiences, challenges, and successes in web test automation. Engaging with others on platforms like LinkedIn can help you build a network and increase your visibility.

Explore automation techniques in our free course on Automation with Playwright: Mastering Web Automation with AI.

Conclusion

Staying ahead in web test automation in 2024 requires a combination of continuous learning, specialization, networking, adaptability, and personal branding. By taking a proactive approach to your career development, you can not only stay competitive in the field but also position yourself for long-term success.

Looking to connect with like-minded professionals and stay updated on the latest trends in web test automation? Join our Discord community, where experts share insights, resources, and support on your career journey. Join Here

Is Codeless Automation Mature Enough to Compete with XCUITest and Espresso?

The landscape of software testing has undergone a dynamic transformation with the advent of codeless automation tools. These tools promise to revolutionize the testing process by removing the need for extensive coding knowledge, spearheading a new era of accessibility and efficiency in software quality assurance.

But the critical question remains: is codeless automation mature enough to compete with established frameworks like XCUITest and Espresso?

The Rise of Codeless Automation

Codeless automation tools have significantly impacted the software testing community. Their innovative approach allows testers to create automated test cases using visual interfaces, fostering an inclusive environment where even those without a coding background can contribute. This accessibility ensures a broader range of testers can delve into automation, enhancing the overall testing process.

Implementation and Maturity

The journey of codeless automation tools, as evidenced by the remarkable advancements in their capabilities, shows that they are not merely superficial solutions. Implementations by various leading companies stand as a testament to their effectiveness.

For instance, tools like Testim and Katalon have demonstrated their prowess in delivering comprehensive and reliable test automation.

Competing with XCUITest and Espresso

XCUITest and Espresso are cornerstones in mobile test automation. These frameworks, developed by Apple and Google, respectively, are known for their robustness and deep integration with their ecosystems. They ensure that applications are rigorously tested, driving high-quality releases.However, codeless automation tools are not far behind. They offer a unique value proposition by reducing the complexity and time required to create automated tests. This is particularly impactful in agile environments where speed and adaptability are crucial. The holistic nature of codeless tools, combined with their ability to integrate with various CI/CD pipelines seamlessly, enhances their appeal.

Looking to dive deeper into modern automation testing methods? Join our Discord community to connect with experts, share insights, and get support on your accessibility testing journey!

Key Considerations

When delving into the comparison, several pivotal factors must be considered:

  1. Flexibility and Customization: While codeless tools offer impressive ease of use, XCUITest and Espresso provide unparalleled flexibility and customization options, essential for complex test scenarios.
  2. Integration and Ecosystem: The integration capabilities of codeless tools with different platforms and environments are noteworthy. However, the deep integration of XCUITest and Espresso within their respective ecosystems remains a critical advantage.
  3. Scalability and Maintenance: Ensuring scalable and maintainable test suites is vital. Codeless tools have made strides in this area, but traditional frameworks often provide more robust solutions for large-scale projects.

Conclusion

Codeless automation tools have carved a significant niche in the journey toward efficient and effective test automation. Their ability to democratize testing by empowering non-developers is a noteworthy innovation. However, while they bring many benefits, the maturity and flexibility of XCUITest and Espresso cannot be overlooked.

As the industry continues to evolve, the choice between codeless automation and traditional frameworks will depend on the project’s specific needs. Both approaches have unique strengths, and the most impactful strategy may involve a hybrid approach, leveraging the best of both worlds. Embracing the dynamic nature of these tools will be crucial in navigating the ever-changing landscape of software testing.

Join our Discord community to learn more about best practices and trends in mobile testing world.

Playwright Has Killed the Competition: Why Every Other Automation Tool is Irrelevant in 2024

2024 marks the year that Playwright has obliterated its competition, leaving other web automation tools in the dust. What was once a crowded battlefield of tools vying for dominance has now become a one-horse race. The era of juggling multiple tools is over—Playwright has risen to the top, and it’s here to stay.

The Meteoric Rise of Playwright: From Contender to Champion

Imagine a time when Selenium ruled the web automation world, Puppeteer was Google’s golden child, and Cypress was the new kid on the block. Fast forward to today, and Playwright has flipped the script. Developed by Microsoft, Playwright has not just joined the fray—it has decimated the competition. But what’s the secret sauce behind this tool that’s taken over the industry?

What Makes Playwright Unstoppable?

  1. Cross-Browser Domination
    • Playwright doesn’t just support cross-browser testing; it masters it. No more cobbling together different tools to achieve full browser coverage. With Playwright, you get Chromium, Firefox, and WebKit support right out of the box. It’s like having three tools in one, with none of the hassle.
  2. API Power and Flexibility
    • Playwright’s API isn’t just powerful—it’s a game-changer. Modern web apps are complex, but Playwright tackles them with ease. Whether you’re dealing with tricky iframes, handling multiple tabs, or testing intricate user flows, Playwright’s flexibility ensures you’re in control, no matter how tangled the web gets.
  3. Blazing Speed and Rock-Solid Reliability
    • In the world of web automation, speed and reliability aren’t just nice to have—they’re everything. The playwright delivers lightning-fast execution and consistency that you can count on. Say goodbye to flaky tests and hello to reliable, repeatable results. The Playwright doesn’t just keep up with the pace—it sets it.
  4. Built for Developers, Loved by Everyone
    • Playwright’s intuitive syntax and extensive documentation mean it’s a tool that developers love. Whether you code in JavaScript, TypeScript, Python, C#, or Java, Playwright speaks your language. And with its ever-growing ecosystem, the community around Playwright is vibrant and supportive, making it even easier to adopt.

Want to advance your career in Test automation? Join our Discord community to connect with fellow testers, share experiences, and get expert advice on choosing the right tools for your projects

The Decline of Legacy Tools: Why They Can’t Keep Up

  • Selenium: Struggling to Evolve
    • Selenium was once the top choice, but its slow updates and outdated API make it feel out of step with modern needs. The reliance on external tools like WebDriver adds complexity, which Playwright manages more efficiently.
  • Puppeteer: Limited by Design
    • Puppeteer made an impact, but its restriction to Chromium browsers is now a significant drawback. In a landscape where cross-browser testing is essential, Playwright’s broader compatibility is a clear advantage.
  • Cypress: Falling Short
    • Cypress gained popularity quickly, but its limitations are becoming apparent. The lack of cross-browser support and difficulty handling complex interactions are areas where Playwright excels.

This version maintains the core message while presenting it in a more straightforward and technical manner.

The Power of Community: Why Playwright’s Ecosystem is Unbeatable

A tool is only as strong as the community that supports it, and Playwright’s community is thriving. With a wealth of plugins, extensions, and integrations, Playwright has become more than just a tool—it’s a movement. From seamless CI/CD integration to cloud testing platforms, Playwright isn’t just part of your workflow; it’s the backbone of it.

Conclusion: The Future Belongs to Playwright

In 2024, Playwright emerged as the tool for web automation. Its comprehensive features, unmatched speed, and reliability have rendered its competitors obsolete. As the tech world continues to evolve, Playwright isn’t just surviving—it’s defining the future. Don’t get left behind—join the Playwright revolution today.

Join our Discord community to stay updated on the latest trends and advancements in automation testing tools and techniques!

Career Advancement in 2024: Strategies to Excel as a Web Test Automation QA

Advancing your career as a Web Test Automation QA in 2024 requires a combination of technical prowess, hands-on experience, and essential soft skills. As the landscape of web automation evolves, staying ahead involves mastering tools like Playwright, JavaScript/TypeScript, and AI-driven technologies such as ChatGPT and GitHub Copilot. Here, we outline the key criteria to secure a job and excel as a Web Automation Engineer in 2024.

Technical Skills

Programming Languages

Proficiency in JavaScript and TypeScript is paramount. These languages are foundational for modern web development and automation, offering the flexibility and power to create robust automated test scripts.

Playwright Expertise

In-depth experience with the Playwright is critical. This includes:

  • Writing, maintaining, and debugging automated test scripts.
  • Utilizing Playwright’s features such as browser automation, handling multiple browser contexts, and headless testing.

API Mocking

Mastering API mocking techniques and tools enhances your testing capabilities. Skills should include:

  • Using Playwright’s route and intercept features to mock network requests.
  • Familiarity with tools like Mock Service Worker (MSW) for API mocking in test environments.

Continuous Integration/Continuous Deployment (CI/CD)

Experience with CI/CD tools is crucial for integrating automated tests into the build pipeline. Knowledge of tools like Jenkins, GitHub Actions, GitLab CI, or CircleCI will streamline deployment processes and ensure continuous testing.

Version Control

Expertise in using Git and platforms like GitHub or GitLab for version control and collaboration is essential. This ensures efficient management of code versions and smooth teamwork.

Test Management

Familiarity with test management tools such as JIRA, TestRail, or Zephyr is important for tracking test cases and reporting bugs, facilitating organized and efficient testing processes.

Cross-Browser Testing

Knowledge of platforms like BrowserStack or Sauce Labs for cross-browser and cross-device testing ensures your applications work seamlessly across different environments and devices.

AI Tools for Enhanced Productivity

Leveraging AI tools can significantly enhance productivity in web test automation. Here are some key AI-driven technologies to consider:

  • ChatGPT and Similar LLMs (Large Language Models): Proficiency in using tools like ChatGPT, GPT-4, LLaMA, and Claude can help generate test case ideas, offer debugging suggestions, and improve test script quality.
  • GitHub Copilot: Experience with GitHub Copilot and similar AI-driven code assistants can accelerate test case development by leveraging AI-driven code suggestions and completions, boosting overall productivity.

Want to advance your career in Test automation? Explore automation techniques in our free course on Automation with Playwright: Mastering Web Automation with AI.

Experience

Professional Experience

Having at least 2-5 years of experience in web automation testing, particularly with JavaScript/TypeScript and Playwright, is often required. This demonstrates a solid background and understanding of the field.

Agile Methodologies

Experience working in Agile/Scrum environments is highly valuable. Participation in sprint activities like planning, stand-ups, and retrospectives helps ensure seamless project execution and continuous improvement.

Soft Skills

Problem-Solving

Strong analytical and problem-solving skills are essential for effectively identifying, debugging, and resolving issues. This ensures the smooth functioning of automated tests and overall software quality.

Attention to Detail

Attention to detail is necessary to ensure the accuracy and reliability of test cases and scripts and to reduce the risk of overlooked errors.

Proactiveness

Excellent verbal and written communication skills facilitate effective collaboration with development teams, product managers, and other stakeholders, ensuring clear and concise information exchange.

Teamwork

Working effectively as part of a team and contributing to a collaborative environment is critical. This ensures collective success and fosters a supportive workplace culture.

Adaptability

Flexibility to adapt to new tools, technologies, and processes as the industry evolves is crucial. Staying updated with the latest trends and innovations will keep you ahead in your career.

Conclusion

Securing a job as a Web Automation Engineer in 2024 and excelling in this role requires a blend of technical skills, relevant experience, and essential soft skills. Mastering tools like Playwright, leveraging AI technologies, and maintaining a proactive learning attitude can significantly enhance your career prospects. Embrace these strategies to stay competitive and thrive in the dynamic field of web test automation.

Enhance your automation skills by enrolling in our free course, Automation with Playwright: Mastering Web Automation with AI.

Will AI Crush QAs? ➕ 9 More Web Automation Myths We’ll Absolutely Shut Down

Is AI coming for your job? You’ve probably heard the worried whispers if you’re a software tester or quality assurance (QA) engineer. 

No doubt, the rise of AI has sparked a wave of panic among testers, but before you dust off your resume and sign up to study digital detoxification coaching, let’s take a deep breath and separate fact from fiction. 

The world of web automation is riddled with myths and misconceptions, often fueled by fear and a lack of understanding.

So come with us on a myth-busting expedition. We’ll debunk the top 10 most common misconceptions and reveal the truth behind the hype.

By the end of it, you’ll be armed with the knowledge you need to face the future of testing with confidence instead of being held back by the fear of losing your job.

So let’s get busy debunking!

MYTH 1: Set It and Forget It—Automation is a One-Time Thing

Write a script once, and it’ll keep your app running great forever!

Unfortunately, that’s what many teams have believed. Deciding to take a well-deserved nap at the end of a tough development cycle, the unsuspecting group figures everything is handled. 

After all, the scripts worked great the first time.

REALITY

The app will evolve, new features will be added, and old ones tweaked. But the neglected test scripts will remain frozen in time, and the bugs will creep in unnoticed, like termites in a wooden house. 

Web apps constantly change and evolve. 

That means your tests need to keep up the pace. Otherwise, before you know it, your scripts will be as outdated as dial-up, and your app will be as glitchy as a self-driving car. 

Regular check-ups and updates are a must if you want your test suite to stay relevant and usable.

MYTH 2: Automation Will Replace Manual Testing

All manual testers better start working toward a career shift because their ship has sailed in a sea of automation.

When a company is seduced by the “money-saving” allure of the myth that automation will replace manual testing, trouble is sure to come.

They fire all the manual testers believing AI automation can handle everything—from squashing bugs to brewing the coffee.

REALITY

Automated tests can miss subtle usability issues and lack a deep understanding of user intent—weaknesses that can (and often do) result in spectacular failure if automated tests are left to their own devices.

Automation and manual testing always go better together. 

While automated tests excel at repetitive tasks and regression testing, manual testers bring creativity, intuition, and an unmatched, nuanced understanding of user behavior to the table.

Together, humans and AI automation form an unstoppable force against software bugs. (More on this later.)

MYTH 3: Big Projects Only—Automation Is for Large-Scale Apps

Automating small projects? You might as well throw your money to the wind!

Imagine a tiny startup that’s forced to pinch pennies. Believing automation is outside its scope, it focuses all its energy on manual testing—even as its app starts to grow.

REALITY

Soon, bugs start popping up like mushrooms after the rain. The app’s quality takes a dive, users leave, and revenue goes down the drain. 

Incorporating automation could’ve given this startup a fighting chance by giving them more efficient workflows.

Automation is an indispensable tool for software projects, regardless of size. Even small teams can use automated tests to streamline workflows and free up time for initiatives to drive growth.

MYTH 4: No Humans Needed—Automated Tests Run Themselves

This one is related to MYTH #2: Just set up the tests and let them do their thing. Who needs humans when you have automation, right?

So many companies fall prey to this myth. They go all-in on automation, thinking the tests will run perfectly without any human supervision. So they don’t check metrics, assuming everything’s going fine.

REALITY

Soon a rogue bug in the test scripts turns everything upside down, resulting in sky-high damage-control costs.

Automated tests are like pets—they need attention and care. A human being needs to monitor an automated test, analyze the results, and fix the issues regularly to avoid almost certain disaster.

MYTH 5: Budget Buster—Automation Is Too Expensive

Automation is only for big, rich companies. Small businesses and startups are better off sticking to manual testing.

Terrified of the price tag, many smaller and newer companies cling to manual testing like a life raft.

REALITY

The problem is that these companies forget to factor in the long-term costs of manual testing, such as wasted time, human error, and delayed bug discoveries.

Testing becomes a never-ending nightmare when smaller and newer companies insist on a manual-only approach as their apps grow more complex. 

Bugs run rampant, customer support is overwhelmed, and revenue takes a hit. Suddenly, the expense of automation starts making a lot more sense.

Automation may cost upfront, but the long-term benefits are well worth it. Think faster testing, fewer errors, and happier customers. Plus, there are plenty of affordable automation options for companies of all sizes.

Explore automation techniques in our free course on Automation with Playwright: Mastering Web Automation with AI.

MYTH 6: Just Scripts—Automation is All About Coding

Automation is for coding wizards only. If you can’t write code, you might as well stick to Minesweeper.

Too many tester teams are deeply afraid of code and dismiss automation as some kind of dark art. They adamantly stick to manual testing, regardless of company or project size.

REALITY

As these teams’ apps expand, management becomes a soul-sucking grind. The team falls behind, missing deadlines and releasing buggy software. 

They watch from the sidelines as automation teams zoom past them, enjoying faster testing, better quality, and more free time.

Everybody has got to start somewhere! Plenty of user-friendly and affordable no-code and low-code tools let anyone get started creating and maintaining test scripts without a computer science degree.

For example, Scandium is one of the best free automated testing tools for web applications out there (and did you notice we said it’s free?).

There’s no excuse for getting started, guys!

MYTH 7: Bug Zapper—Automation Catches All the Bugs

Click a button, and say goodbye to bugs. Automation is the superhero of software quality, here to save the day—every time.

Companies will fully trust automated tests, completely discarding manual and exploratory testing, totally convinced that automation will catch everything.

REALITY

It doesn’t work that way.

A sneaky security bug disguised as a harmless line of code can waltz right past an automated test, resulting in things like data breaches capable of shattering reputations to pieces in one fell swoop.

Automated tests are great for repetitive tasks and finding old bugs, but they’re not mind readers (yet). Manual and exploratory testing are still needed to catch those tricky bugs that can still outsmart the machines.

MYTH 8: Tester = Automator—Anyone Can Do It

If you can use a computer, you can automate tests. After all, it’s just a matter of recording clicks and keystrokes.

Every day inexperienced teams are thrust into complex automation projects using advanced automation tools all because unknowing boards of directors were drawn by the lure of efficiency and cost-cutting. 

REALITY

The resulting test scripts are brittle, unreliable, and difficult to maintain. They fail intermittently, reporting false positives and negatives, and they break every time the user interface is barely tweaked.

These teams end up spending more time fixing broken tests than they should’ve saved by automating in the first place.

Quality suffers as critical bugs slip through the cracks. Projects are delayed, and costs skyrocket.

Now, we know we said above that you don’t have to be a coder to take on test automation, and that’s true! But here we’re talking about highly complex projects.

Effective test automation for complex projects requires a deep understanding of software development principles, coding languages, and testing frameworks.

It also helps if the test engineer can design strong and maintainable test scripts. SDETs (Software Development Engineers in Test) are in high demand precisely because they possess this specialized skillset.

MYTH 9: Quick and Painless—Automation is a Breeze

Download a tool, point it at your app, and boom, instant bug-free paradise. Who needs planning or maintenance?

Way too many teams, hyped up on automation, jump headfirst into a new tool without even reading the instructions. A few haphazard test scripts later, they kick back and wait for the magic to happen.

REALITY

The tool throws a tantrum, scripts break faster than a pair of gas station headphones, and the team spends more time Googling error messages than actually testing.

Building a solid automation framework takes planning, analysis, and strategy. Regular maintenance is a must unless you want your scripts to go the way of the dinosaurs.

MYTH 10: One Tool to Rule Them All—Any Tool Can Handle Any Scenario

Why spend money on multiple solutions? One automation tool can be used for everything we need!

Unknowingly, many companies today think they can rely on a single tool to do everything—from functional testing to performance testing and even security testing. They think that as long as they have Selenium testing or something like it in the works in some way, they’re good to go.

REALITY

Just like you wouldn’t drive a minivan in a high-speed race, you shouldn’t rely on a single automation tool for all your testing needs. 

The rise of specialized tools like Marathon Cloud for scalable and rapid testing on virtual devices, alongside Cypress for end-to-end testing, demonstrates the need for choosing the right tool for the job. 

Marathon Cloud’s ability to distribute and retry tests across numerous virtual devices, aiming for a 15-minute completion time, showcases a very specific solution for performance-focused teams. It’s a testament to the idea that there’s no one-size-fits-all solution in the world of web automation.

We hope our myth-debunking efforts have encouraged and empowered you to pursue AI web automation yourself. We even offer a totally free course here at Engenious University to help you do just that!

Master Web Automation with Playwright and AI—for Free (for Real!)

Ready to shatter those myths in real life and thrive in the age of AI-powered automation? Learn Playwright automation in our free course, “Automation with Playwright: Mastering Web Automation with AI.”

Whether you’re a seasoned coder, a Selenium Python or WebdriverIO user, or just starting your automation journey, this course will equip you with the skills to build solid, scalable, and maintainable web tests using Playwright.

With guidance from industry experts Igor Dorovskikh and Vasyl Shpak from Engenious University, and the added power of ChatGPT and GitHub Copilot, you’ll learn:

  • How to set up your Playwright environment in Visual Studio Code.
  • How to write your first automated test and implement the Page Object Model (POM) for better organization.
  • How to leverage AI-driven prompts from ChatGPT to accelerate your test writing.
  • And much more!

Don’t let the myths hold you back. Embrace the future of web automation and unlock your full potential with Playwright and AI.

Enhance your automation skills and debunk common myths by enrolling in our free course, Automation with Playwright: Mastering Web Automation with AI.

How to Test Client Analytics for Mobile Apps

Did you know that just one undiscovered bug in a mobile app’s code can cost over $1 million or more? Not to sound too dramatic, but missing the smallest of mistakes when testing analytics for mobile apps can significantly cut into app revenue, lower usability, and anger or lose customers. As such, every automation tester must exercise extreme diligence when inspecting the analytics of any app you are responsible for to prevent million-dollar problems from occurring.

Why are mobile app analytics so important?

Automated penetration testing of analytics for mobile apps is critical for every client, but is essential for any corporate client worth millions of dollars. In all likelihood, your clients will want to know how their app is being used, by whom, and for what reasons. Such notable analytics can include target audience demographics, what parts of the app are being accessed, what actions are being taken, and how long users are using the app. 

Monitoring this information effectively can have critical effects on continued app maintenance and development. Test automation engineers need to know what features to add or cut, what tools work and which do not, and essentially if the app is effective for its intended purpose for its target audience. Additionally, your clients will want to know if business goals are being met by using the app. Business goals can vary across different industries as well as the types of apps they employ, but some goal types include higher revenue, increased awareness among a target audience, better access to products and services, and other such KPIs. 

Examples of top mobile app analytics testing programs

While not every mobile app analytics tool is created the same, they all provide insight into how a mobile app is performing its essential functions and where opportunities for improvement might be. Given user feedback and experience from our own test automation engineers, here is a list of our top 10 tools you may want to consider for your analytics testing needs:

Each tool has its merits and challenges, so be sure to check out our reviews on each to make the best decision for your particular needs.

What mobile app analytics data is critical?

No matter which analytics tool you end up choosing or what the functionality of your client’s app is, here is a list of data points that you should be concerned with when examining critical data points:

  • Active Users: View the various activities of people using the app currently or within a recent time period to see how they use the app daily, weekly, monthly, or beyond.
  • Adoption & acquisition: Part of an app’s adoption includes which platform users are downloading the app on. Acquisition details which of your marketing channels have led users to download your app for the first time (website, social media, paid ad, etc.).  
  • Audience retention: Check out the type of audience the app is attracting based on characteristics such as demographics (gender, age, etc.), location, and device type/platform.
  • Conversions: See what events and actions have led to customer conversions over a given time period.
  • Engagement: User engagement shows how people are interacting with the app to reveal popular actions, tools, information access, and more.
  • Filters: Setting data filters can be very helpful in sifting through data more quickly to identify specific information you want to examine. For mobile app analytics, useful filters include the platform (iOS or Android), date range, defined audiences with similar traits, and user properties (age, gender, device type, etc.)
  • Revenue: Understanding who and what are providing the most revenue during specific time periods is crucial to a client’s birdseye view of their financial health.

You also want to keep track of app events and user properties that render important milestones such as increased revenue or engagement. Events are occurrences of significance that are worth measuring according to parameters set to measure said events (i.e. date range, revenue threshold, impressions made, etc.). User properties are attributes that help to identify specific desirable behaviors among users. 

Events and user properties are often recorded automatically by mobile app analytic programs, including these subcategories:

  • Predefined events: These events are generally used by most mobile app analytics tools and offer pre-determined parameters such as basic actions and the input of information. Automatically collected events are more commonplace interactions with the app and typically do not require additional coding or parameters to be recorded.
  • Custom events & parameters: These events do not come standard with analytics tools and are created by engineers to measure events that are more specific to the organization’s app type or industry. For example, a restaurant app may measure how many times a user orders a particular menu item.
  • User sessions: The time users spend interacting with an app is just as important as what they do while using the app. The amount of time spent by a user within an app provides insight into a multitude of other analytics; such insights include general interest in the app, which tools are most used, which products and services are most popular, and which aspects need improvement.

Setting testing goals and objectives

Analytics mean very little if you do not have a benchmark to compare them to over time. Every organization must set specific goals from which to judge all analytics flowing in from the analytics tool. Keep in mind that not all goals are necessary for every business or industry, so discussing what goals to set with your client is paramount to the success of any analytics campaign. 

The types of goals set can be few in number, or several all at once. Additionally, goals can change annually or vary in time frame. For example, you may want to evaluate how many signups for a subscription service are logged each month, but may also want to evaluate overall app revenue year to year. Some examples of analytics goals that can be set include revenue, social media impressions, products sold, or ebooks downloaded. 

IMPORTANT: Be sure to have discussed clear goals with the client based on realistic time frames for the most accurate tracking of goal journeys.

Want to learn more about client analytics testing for mobile apps? Join our Discord community to discuss strategies, get tips from experts, and enhance your skills in mobile analytics testing!

Tracking metrics and goals

After you have set your goals to measure, it’s time to start measuring progress toward achieving those goals. Tracking the events that directly correlate with goal fulfillment within given time frames will inform decisions to change, alter, or improve aspects of the app. Here are some tracking methodologies to be aware of:

  • Event tracking: As mentioned above, events are specific actions or results of user interaction with the app that affect metrics and goals set. The ways in which events can be tracked include:
    • Who initiated the event?
    • When was the event initiated?
    • What caused the event to initiate?
    • How many times has this event occurred in a given time frame?
  • Conversion events: Some events can be set to signal conversion events, which are the most important metrics to watch. Conversion events are typically actions taken by users that directly help an organization achieve its set goals. For example, if an analytics goal is to get customers to buy a new product, a conversion event for this goal would be when a user makes a purchase.
    • Automatic: Automatic conversion events are often recorded by analytics tools without needing consent. Such events include when a user first launches the app, makes a purchase through the app, or makes an ecommerce purchase.    
    • Custom: Custom conversion events are not automated and are created for more specific metrics that are business or industry dependent. For example, a restaurant may want to know how many people get placed on the waitlist on the weekend versus weekdays. 
  • Audience: These users are the ones you want to track as they are most likely to interact with your app regularly and help you to reach your analytics goals. Audiences also share similar events and user properties. A useful way to divide your audiences is by those users who enact conversion events and those who have yet to do so or seldom do.
  • Cohorts: These users are grouped by when they started using your app, typically starting within the same week or month. Tracking cohorts of users allows for viewing customer retention efforts over time.  
  • Funnel: Tracking users’ journeys through the marketing funnel reveals how many steps they took to finally enact a conversion event and which touchpoints influenced their decision along the way. This information is helpful for finding out what methods are most effective at getting users to convert.

Establishing testing strategies for client analytics

Up until this point, we have discussed how to ensure analytics are set up properly from the beginning to give clients the information they desire about their business efforts. However, what if the mobile app analytics tool is not performing as it should? Data not being tracked and read as intended is one of those million-dollar problems that we discussed earlier. So, how do we ensure the tools are behaving as they should and your clients stay happy?

Here are some of the testing strategies that test automation experts should be employing in their audits:

  • Functional testing: Testing basic app analytics functionality ensures that the app correctly tracks and records events. This kind of testing involves verifying the implementation of event tracking, testing the accuracy of data capture, and validating the configuration of custom events and parameters.
  • Performance testing: Analytics features need to be assessed regarding their effect on app speed and responsiveness. This testing task includes monitoring the efficiency of data transmission and ensuring that the analytics functionality does not degrade user experience.
  • Security testing: Clients will definitely want to confirm that the analytics data is transmitted securely and stored safely to protect their users. Security testing includes checking for data encryption, secure data transmission, and compliance with data privacy laws and regulations.
  • Automation in analytics testing: Automating analytics testing can significantly enhance efficiency and accuracy. To enact automation, testers need to select appropriate tools and implement scripts that continuously track and verify analytics data. Automated testing ensures consistent monitoring and helps to quickly identify and rectify issues.
  • Best practices testing: To ensure effective analytics testing, it’s crucial to check all analytics features comprehensively. Testers should regularly update test cases to include new analytics functionalities and maintain close collaboration between the testing, development, and analytics teams.

    Connect with our Discord community to get real-time support and advice on testing client analytics for mobile apps.

Accessibility Testing on Mobile Apps: A Critical Component for App Development

What is the most crucial consideration to have when developing a mobile app? Many will argue about this point until the end of time, and each will have a different take on the answer. Some may say it’s technical superiority while others might say it’s user-friendliness. However, something to consider is this: wouldn’t you want to allow for as many people as possible to use your app? Enter accessibility, which aims to set your app up to be used by just about everyone.

What is accessibility testing?

To the mobile app development community, accessibility (a.k.a “A11y”) is the practice of making products, devices, services, or environments to be usable by as many people as possible. In essence, developers design apps to have functionality that will work for people with or without disabilities. For mobile apps, accessibility typically adds features that cater to people who require alternate means of interaction with apps through visuals, sounds, and tactile responsiveness. Accessibility testing for mobile apps ensures that each function designed to help someone with an impairment use the app does its job well. Testing automation comes into play here and can greatly expedite the process with fewer mistakes with a shorter turnaround time.

Some examples of accessibility functionality for mobile apps include, but are not limited to, the following:

  • Higher contrast text and imagery options
  • Speak to text functionality
  • Text can be read aloud
  • Detailed descriptions of images
  • Tactile feedback and vibrations for certain activities
  • Color palettes that are friendly to color blindness

Why is accessibility testing important to app development?

Since there is a wide variety of accessibility functions mobile app developers can utilize, choosing the right ones is critical to an app’s success with its target audience. Likewise, ensuring accessibility functionality is on par is just as critical so the app works for everyone and your development team does not get in trouble. Depending on the app, mistakes made during the accessibility testing phase can have dire consequences, sometimes resulting in lawsuits for millions of dollars. If you need more specific reasons for the importance of accessibility testing, try these on for size:

Inclusivity

Not just a buzz word in the workplace, inclusivity means giving equity to people so that they can succeed when faced with physical or mental adversities. Most companies want to be able to reach out to as many people as possible who fall under the umbrella of their target audience. Some of these people within a target audience may have difficulties with using mobile apps, so designing an app to function for them also helps the brand appear more empathetic to its user base.  

Legal and Regulatory Compliance 

Depending on the industry and country in which the app will operate, government regulation may mandate that mobile apps be user-friendly to everyone, including those with certain disabilities. Such legal compliance is typical for most government agency apps that allow payment processing, scheduling, documentation, etc. Other industries in which legal regulations may mandate accessibility include the medical, finance, civic, and security industries.

Expanding the User Base 

In being inclusive, companies that utilize accessible apps increase their ability to expand the number of users as well as diversifying the kind of people that use their app. Adding accessibility functionality creates a broader appeal to a wider audience, inviting more users to be drawn to an app that satisfies their needs despite their need for accommodation.

Ethical Considerations 

Think of it this way: is it fair to deny a person who needs a wheelchair access to a place simply because they are in a wheelchair? Most, including governments, consider such treatment as discrimination and generally unfair to those such action affects. Instead of denying wheelchair-bound customers, businesses provide a ramp along with stairs to promote accessibility. In the case of accessibility for mobile apps, promoting fair treatment and accommodation for all abilities puts the brand’s ethics on display. Accessibility is not just a function of usage, but an ethical consideration as well, so ensure customers see the app in a positive light.

Improved User Experience 

By providing accessibility to all customers, the app becomes much more useful in general. Consider the current phenomenon in watching TV via streaming with the subtitles on, even if you do not have a hearing impairment. People want clarity on what is being said more often than not, so people whose hearing is just fine find the addition of accurate subtitles while watching helpful in understanding the scene. For mobile apps, adding accessibility features can provide additional functionality for those who may not necessarily need it, but find it helpful nonetheless.

Competitive Advantage 

This notion may seem like a no-brainer, but making your app much more accessible to all types of users grants a tremendous competitive advantage over those who do not. Customers will naturally gravitate towards an app that accommodates their needs and the needs of those close to them (co-workers, family, friends, etc.) Even if your app does its task well, you may lose out to a competitor who follows accessibility best practices due to users not suggesting you to their circles who require accommodations.

User Loyalty

As with any branding tactic, presenting an app that is accessible to all will breed a loyal following in those that you convert. An accessible app is also likely to inspire loyal users to bring along their friends, family, and co-workers, further growing your base of app evangelists. 

How to perform your own accessibility testing

Method 1: XCUITest

If you are already performing XCUITests, you have the capability for performing accessibility tests for your mobile app. Xcode products include a tool called Accessibility Inspector that can perform app audits to find and fix issues with accessibility functions. 

To perform an accessibility audit on your app, launch the Accessibility Inspector when viewing your app in Admin mode. Within the main dashboard, you can see a list of previous audits you have performed along with any issues the audit tool found to be corrected.

Screenshot 2023-10-22 at 12.25.29.png

Before you perform your accessibility audit, click on Options in the upper right corner and ensure the following elements are checked:

  • Element Description
  • Contrast
  • Hit Region
  • Element Detection
  • Clipped Text
  • Traits
  • Dynamic Type

These elements are some of the most common that help to facilitate accessible features within a mobile app, so make sure you are checking them for functionality. 

You can make this entire process automated by using the following code shown below within your XCUIApplication:

Screenshot 2023-10-22 at 13.50.52.png

No assertions are needed when performing this automated test. If any accessibility issues are discovered, the test will automatically fail and you will be able to fix the issues much more quickly. 

There are some additional accessibility test you can perform by adding these codes to your audit:

Ensuring minimum text size

Screenshot 2023-10-26 at 15.27.52.png

Removing redundant elements

Screenshot 2023-10-26 at 15.29.26.png

Uppercase button labels

Screenshot 2023-10-26 at 15.31.15.png

Method 2: AccessibilitySnapshot

Image

AccessibilitySnapshot allows you to create snapshots of accessibility hierarchy within your app as part of running regression tests. Before starting an accessibility snapshot test, you want to ensure that the app project is set up to run such tests. AccessibilitySnapshot uses the SnapshotTesting tool by default to record and compare snapshots. iOSSnapshotTestCase is also available to use as a framework. 

SnapshotTesting:

import SnapshotTesting

import XCTest

class MyViewControllerTests: XCTestCase {

  func testMyViewController() {

    let vc = MyViewController()

    assertSnapshot(of: vc, as: .image)

  }

}

iOSSnapshotTestCase:

func testAccessibility() {

    let view = MyView()

    // Configure the view…

    SnapshotVerifyAccessibility(view)

}

Below is a list of alternate snapshot tools you can utilize for these tests:

  • CocoaPods
    • pod ‘AccessibilitySnapshot’
    • pod ‘AccessibilitySnapshot/Core’
    • pod ‘AccessibilitySnapshot/iOSSnapshotTestCase’

dependencies: [

    .package(name: “AccessibilitySnapshot”, url: “https://github.com/cashapp/AccessibilitySnapshot.git”, from: “0.4.1”),

]

github “cashapp/AccessibilitySnapshot”

  • Bazel

bazel_dep(

    name = “accessibility_snapshot”,

    version = “x.x.x”,

)

Method 3: A11yUITests

Using this method, you can either use AccessibilitySnapshot like before, or Reveal to run your accessibility audit test. Also, A11yUITests works within the Xcode platform.

A11yUITests (All Elements):

func test_allTests() {

    XCUIApplication().launch()

    a11yCheckAllOnScreen()

}

A11yUITests (Specified Elements):

func test_buttons() {

    let buttons = XCUIApplication().buttons.allElementsBoundByIndex

    a11y(tests: a11yTestSuiteInteractive, on: buttons)

}

A11yUITests (Individual Element):

func test_individualTest_individualButton() {

    let button = XCUIApplication().buttons[“My Button”]

    a11y(tests: [.buttonLabel], on: [button])

}

Test Suite Shortcuts:

  • a11yTestSuiteAll: Runs all tests.
  • a11yTestSuiteImages: Runs tests suitable for images.
  • a11yTestSuiteInteractive: Runs tests suitable for interactive elements.
  • a11yTestSuiteLabels: Runs tests suitable for static text elements.

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