Regression testing is meant to be your safety net. Something changes in the codebase, and your tests make sure nothing important breaks. Yet, over time, features get added, bugs get fixed, new flows get introduced, and the test suites grow. With every change, more tests pile on. What starts as a lean, useful set of tests slowly becomes a never-ending slog for many QA teams.
This growth consumes resources and slows delivery cycles. Traditional regression testing approaches suffer from several critical limitations:
💡 "The most valuable tests aren’t the ones that hit every possible edge case. They’re the ones that reflect what real users do most often."
That’s the principle behind Katalon TrueTest.
Instead of starting with a test case based on requirements, TrueTest starts with user behavior. It captures how people actually use your application in production.
As users interact with your app, their browser behavior is quietly recorded. It’s secure, lightweight, and doesn’t affect the performance of your application. That raw data is then used to map out the most critical paths or flows that users take.
From there, TrueTest does the heavy lifting. It uses AI to generate automated regression tests that reflect those real-world usage patterns. And as user behavior shifts over time, TrueTest automatically maintains the test cases for you.
How does TrueTest do this? To illustrate, let’s consider an e-commerce website:
TrueTest fundamentally shifts the mindset. You stop trying to cover every possible path. You start focusing on the paths that matter most. It has real benefits:
You move from slow, requirement-based testing to testing what matters to your business, backed by data. It actually helps you improve your test coverage and keep things running smoothly without slowing your team down.
As software development continues to accelerate, the gap between traditional regression testing approaches and modern delivery demands on QA teams will only widen. With more and more teams embracing AI in tools like TrueTest, testing moves away from a reactive, assumption-based process toward a proactive, data-driven process. And this AI-augmented delivery allows QA teams to finally focus on what they are good at: ensuring a seamless user experience.