We usually choose test automation to save time and reduce manual work. Instead of testing the same features again and again, we write automated tests and let them run whenever needed.
But have you ever thought about how much time we spend maintaining those tests?
Let's take a simple example.
Imagine a team has automated 200 test cases for a web application. Initially, everything works well. Tests run automatically, and the team gets results quickly.
But after some time, the application starts changing.
A button is moved, a new field is added, or a workflow is updated. Now some automated tests start failing.
The QA team has to check what went wrong. Is there a real bug in the application? Does the test need an update? Is it just a small UI change This happens again and again.
Slowly, the team starts spending more time fixing test scripts and checking failures than actually testing new features.
Now think about it. We started automation to save time, but are we spending too much time just keeping it working?
I think the main problem is that we often focus on how many test cases we automate, but forget about the effort needed to maintain them.
When all the things happen together, automation can become more expensive than we expected.
While exploring x360 AI Tech, I started looking at how AI can help reduce some of this maintenance effort. What I found was that its approach is not limited to generating test cases. It also includes test execution, self-healing, maintenance, and failure analysis.
For example, when a test fails after a UI change, we shouldn't immediately assume that the application has a bug. We need to understand what actually happened.
By analyzing execution details such as test steps, screenshots, and browser actions, teams can get more information about the failure instead of spending time investigating everything manually.
AI-assisted maintenance can also help when application changes affect existing tests. But those changes still need to be checked to make sure the test is behaving correctly.
This made me realize that automation is not just about creating tests and running them. Keeping those tests useful over time is equally important.
Sometimes, automating fewer but useful test cases can be better than maintaining hundreds of tests that constantly need attention.
Have you ever worked on a project where maintaining automated tests took more time than running them? At that point, would you continue with automation or consider manual testing for those scenarios?
I'd really like to hear how other QA engineers handle this in their projects.
