AI-powered self-healing
Automation Best practices Management Agile
10 mins read
December 28, 2024

What Is Self-Healing Test Automation?

Youā€™re running automated tests, and something breaks (happens almost every time). Normally, youā€™d have to pause everything, dig through logs, and manually fix the broken testsā€”a frustrating and time-consuming process. Now imagine this: instead of halting your entire process, the tests fix themselves and keep going. No disruptions, no manual fixes. Sounds like something from a sci-fi movie, right? Self-healing test automation makes this possible. Letā€™s dive into how it works and why itā€™s changing the future of software testing.

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Robert Weingartz
Nurlan Suleymanov

What is self-healing test automation?

Self-healing test automation is an advanced testing approach where automated tests automatically adapt to changes in the system under test. Too technical? Letā€™s give you a short example.

Imagine a button gets renamed or a fieldā€™s position changes during a software update. Normally, your tests would fail instantly. However, with self-healing test automation, the tests recognise these changes and adjust themselves. No crashes.

So how is this different from regular test automation? Traditional automated tests require manual updates whenever something changes. With self-healing, the tests use AI and smart algorithms to detect and fix issues on their own.

Is it the same as test maintenance tools? Not quite. Test maintenance tools help you manage broken tests after they fail. Self-healing automation prevents failures in the first place by adjusting test scripts in real-time. It’s proactive rather than reactive.Ā 

Instead of seeing this process as a cool addition to your testing efforts, you should look at it as a future necessity. Why? Letā€™s explain the importance of it.

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The Importance of Self-Healing Test Automation

Software development never slows down. New features, UI updates, and code changes happen constantly. All these make automated tests fragile and prone to failure. And fixing broken tests after every small change can feel like an endless cycle as they delay releases and drain your teamā€™s energy. Self-healing test automation, on the other hand, keeps your tests up and running, no matter what changes behind the scenes.

Hereā€™s why it matters:

  • Minimises Test Maintenance: Think about how much time your team spends fixing broken tests after updates. With self-healing, tests automatically adjust to changes. It lets your QA team focus on more critical tasks.
  • Improved CI/CD efficiency: Every broken test is potential downtime for your CI/CD pipeline. Self-healing tests fix themselves instantly. It keeps your development flow uninterrupted.
  • Speeds Up Releases: Faster test maintenance means quicker feature rollouts. No more waiting for manual fixesā€”your tests keep up with your release schedule.
  • Enhances Reliability: Flaky tests can cause false alarms or missed bugs. Self-healing tech stabilises your testing process in terms of accuracy and dependability.Ā 
  • Cuts Costs: Manual test maintenance costs you time and money. Automating this process reduces labour expenses while boosting productivity.

You see why self-healing will become even more important in the future? Letā€™s also look at the benefits the process brings.

Benefits of Self-Healing Test Automation

Hereā€™s what makes self-healing test automation invaluable:

  • Better Test Coverage: Instead of wasting time fixing broken tests, your team can build more comprehensive test cases. This way, you can cover more features and reduce the risk of bugs slipping through.
  • Seamless CI/CD Integration: Continuous integration requires constant testing. Self-healing ensures that your tests donā€™t slow down releases, even during frequent updates.
  • Improved Productivity: Imagine how much more your team could achieve if they didnā€™t have to fix failing tests every day. Self-healing lets them focus on valuable work like developing new features and improving test strategies.
  • Reduced Risk of Failure: Self-healing deals with the issues without any intervention, and on time. It helps you avoid costly production issues that could harm your productā€™s reputation.

benefits of self healing

With these advantages, you can see self-healing test automation isnā€™t just an addition – itā€™s essential (and will become even more essential) for staying competitive in the software industry.Ā 

You know what else can help you see these benefits? An AI-powered Test Management System (TMS) that not only integrates well with your automation integrations but also provides a lot of cool AI capabilities.

That is where aqua cloud comes into play. From AI-powered requirements, test cases, and test data creation IN SECONDS to 100% test coverage, it ensures youā€™re always prepared, even when tests break. Real-time visibility and full traceability of requirements, test data, and results give you the confidence that no issues are slipping through. Seamless integrations with Jira, Selenium, Jenkins, and native bug-recording extension Capture ensure smooth collaboration, reducing manual effort and increasing productivity. Plus, a centralised repository keeps all your testing data and insights in one place, empowering your team to focus on delivering quality software faster.

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How Self-Healing Test Automation Works

Shortly put and as explained above, self-healing test automation works by detecting and adjusting to changes in the applicationā€™s interface. When the system encounters a failure due to changes in elements (like renamed buttons or fields), it doesnā€™t stop. Instead, it recognises the change and automatically updates the test script to reflect the new element. This ensures continuous testing without human intervention, reducing downtime and manual maintenance. Letā€™s look at the key steps of the process.

Element Identification in Self-Healing Tests

In a self-healing test, when the script runs, it first identifies key elements based on unique attributes like IDs, names, or classes. When the elementā€™s identifier changes, the test doesnā€™t fail. It adapts by finding alternative ways to recognise the same element. With this, your test continues uninterrupted.

Organised Execution of Tests

Test execution in self-healing automation follows a streamlined process where each test is systematically executed. When an issue arises, the self-healing mechanism steps in to adjust the test dynamically. This approach ensures that tests are completed as scheduled, with minimal interruptions, even when changes occur in the system.

Analysing Issues in Self-Healing Tests

When a test fails due to a change in the application, the self-healing mechanism doesnā€™t just identify the issue; it also analyses it. The system compares the new element with the previous version, checking if the functionality remains the same. This helps prevent false positives and addresses only relevant changes.

The Self-Healing Process in Action

Once the system identifies a problem, it automatically updates the test script with the new element’s properties. This ensures that future tests run smoothly without needing manual updates. The self-healing process not only fixes the immediate issue but also adapts the testing framework for future changes, optimising long-term test maintenance and execution.

Now, letā€™s look at a practical example of it.

An Example of a Self-Healing Test

Imagine youā€™re testing an e-commerce site with an updated checkout process. Initially, the “Proceed to Checkout” button is identified as “checkoutButton”:

<button id=”checkoutButton”>Proceed to Checkout</button>

Later, the development team changes the ID to “checkoutProceedButton” as part of a UI redesign:

<button id=”checkoutProceedButton”>Proceed to Checkout</button>

In a traditional automated test, the script looks for the original ID, ā€œcheckoutButton.ā€ If it doesn’t find it, the test will fail and it will cause disruptions in your workflow. You will need to manually update the test script to reflect this change.

Hereā€™s where the power of self-healing tests comes in:

  • Recognising the Change: The self-healing test detects that the ID has changed but notices that the functionality remains the sameā€”it’s still the “Proceed to Checkout” button.
  • Autonomous Adjustment: It automatically updates the search criteria, now looking for “checkoutProceedButton” instead.
  • Continuing the Test: The test continues running smoothly without manual intervention. It keeps your pipeline intact.
  • Updating the Script: The test adapts during execution while also updating the test script for future runs. It always keeps your test aligned with the current UI elements.

This capability keeps you from stopping everything to fix broken tests. As a result, it saves you time and reduces manual errors, so you can focus on more important tasks without worrying about the small details of broken test scripts.

Conclusion

So, what did we learn here? Self-healing test automation is the future of reliable, efficient software testing. It keeps your tests running, even when unexpected changes occur. By reducing manual maintenance and boosting a lot of crucial metrics of software testing (including speed, resources, cost, etc), it frees your team to focus on what truly mattersā€”building great software. To be ready to embrace smarter testing, you need a solution like aqua cloud that will be by your side for the future of software testing. Never overwhelmed, always in line with the latest software testing revelations. Just contact us and let us take away the pain of testing from you.

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