Welcome back! We’re on Day 4 of my 30-day series on AI in Testing.
Yesterday, we learned how AI helps predict defects and assess risks, making it easier to focus on problem areas. Today, we’re going to talk about how AI can optimize test cases in other words, how it helps you decide which tests are really needed and which ones can be skipped. This is a big time-saver and makes sure your testing is efficient.
Please checkout my other articles for AI in Testing Series
- Day 1 — Introduction to AI in Software Testing
- Day 2 — AI Driven Test Automation
- Day 3 — AI in Defect Prediction and Risk Analysis
What is Test Case Optimization?
When you’re testing software, you usually create a lot of test cases to check if everything is working properly. Over time, though, these test cases can pile up, and running all of them can take too long. Plus, some of the tests might be checking the same things, or testing parts of the app that don’t change often.
Test case optimization is the process of cleaning up your test cases to keep only the most important ones, ones that are actually needed and provide good coverage. AI can make this easier by helping you choose the best tests to…
