defect prediction
🤖 CT-AI
Official ISTQB Definition
Using AI/ML techniques to predict which parts of a software system are likely to contain defects, enabling focused testing efforts.
3 Ways to Think About It
The Quick Take
Using AI to predict where bugs are likely to hide, so testers can focus efforts efficiently.
Look Closer
ML models that analyze code or history to forecast which modules need the most testing.
The Bottom Line
Turning AI into a testing ally by having it identify high-risk areas before you find defects the hard way.
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