AI Regression Testing: New Ways to Automate What Actually Matters
Learn with AI

In today's dynamic software landscape, teams struggle with where to invest their time: new feature testing or regression testing.
Obviously, ensuring the reliability and stability of applications is paramount so that the end-user experience is not impacted. However, teams must also ensure that new features and capabilities that will propel the company's business to the next level are also properly tested and ready to be put in the hands of the end users.
But, how to find the right balance?
The Challenge with Traditional Regression Testing
Traditional regression testing approaches rely mostly on selecting tests that have been created for testing a new feature when it was first released and re-running those tests after release to identify any application regressions.
The challenge there is how to select the "right" tests.
-
Which ones will be most effective in catching regressions
-
Regressions that would impact the end-user experience in the application
The common approaches used to do this have been subjective, which is not scalable or repeatable
Why Regression Tests Become Automation Targets
At the same time, regression tests are the usual targets for starting any test automation endeavor because those tests are expected to be executed repeatedly before each release.
Unfortunately, the next challenge is to keep those tests up to date as the application evolves.
This is where most test automation efforts die. After around two years as the effort to maintain those automated tests results in a negative ROI.

Leveraging AI and Real-User Insights
To prevent this situation, there are emerging innovative approaches to regression testing, such as observing real user behavior in production environments and leveraging the latest AI techniques to automatically create, maintain, and run automated regression tests.
This enables teams to focus their efforts in testing new features that will positively impact the business of the company in the market, while ensuring the existing business-critical capabilities continue to work release after release.
Why Observe Real User Behavior?
But why observe real user behavior to automatically generate automated regression tests?
It's simple: because requirements are inherently ambiguous.
For many decades the software industry has tried to come up with approaches to reduce the ambiguity in requirements with the goal of decreasing the number of defects introduced in the application code throughout the SDLC.
Unfortunately, that never really worked.
The True Goal of Regression Testing
The main goal of regression testing is to prove that new code is not going to unintentionally break existing code that wasn't expected to be changed during a release.
And that can be achieved by testing through:
-
The UI
-
APIs
-
DB
-
Or a combination of them all
Given that everyone struggles for time during a release, the most common approach teams opt to follow is to design end-to-end test cases from the user's perspective — i.e., through the UI.
Why Teams Rely on End-to-End UI Testing
The assumption is if the user flow is working, then everything else must be working too because the user is able to accomplish what he/she wants.
Therefore:
-
The user gets value
-
The company satisfies its business metrics (e.g., revenue increase, growing number of customers, etc.)
On the flip side, if the user flow is not working, the end users won't be able to complete the task they were trying to achieve.
Examples include:
-
Buy a product
-
Transfer money
-
Book a trip
And the company's business will be negatively impacted:
-
Loss of revenue
-
Customer churn
The Cost of UI-Based Automation
There's a catch to this approach though: automating tests through the UI is very time-consuming and the tests tend to be flaky.
So the maintenance effort on automated tests only increases as more tests are automated.
Eventually, it becomes unsustainable.
A Silver Lining for Regression Testing
There is, however, a silver lining.
These emerging approaches to regression testing promise to eliminate the need for a human to automate end-to-end tests from a user's perspective.
Revolutionizing Test Automation with TrueTest
Imagine if your team could focus on automating tests for new features in the release while knowing the business-critical user flows are working, without the team having to automate any of those regression tests.

That's what Katalon TrueTest is gearing up to deliver. Learn more about TrueTest here.
|
FAQs
Why is traditional regression testing often seen as inefficient?
Traditional regression testing relies on subjectively choosing old feature tests to rerun and heavily automating brittle UI flows that are expensive to maintain, which often leads to negative ROI after a couple of years as maintenance effort outweighs the benefits.
How can AI and real-user behavior improve regression testing?
By observing real user behavior in production and applying AI, teams can automatically create, maintain, and execute regression tests that reflect actual business-critical flows, reducing manual effort and ensuring important journeys keep working release after release.
Why is focusing on end-to-end tests through the UI both useful and problematic?
End-to-end UI tests match how users experience the application, so if key flows work, the business gets value—but UI automation is time-consuming and flaky, so large suites quickly become hard to maintain and eventually unsustainable.
How do ambiguous requirements affect regression testing?
Because requirements are inherently ambiguous and attempts to fully remove that ambiguity have never really worked, it’s hard to design perfect regression suites from specs alone; using real user behavior helps close this gap by grounding tests in what users actually do.
What role does Katalon TrueTest aim to play in regression testing?
Katalon TrueTest aims to eliminate the need for humans to manually automate end-to-end regression tests for business-critical flows, so teams can focus on automating tests for new features while trusting that key user journeys are continuously protected.