Advanced Level – Cross-Cutting
AI-Based Testing – ISTQB Definition
Last Updated: July 12, 2026 · SoftwareTestPilot QA Team
Official ISTQB Definition
The use of artificial intelligence and machine learning techniques to improve testing, e.g. test generation, visual testing, self-healing scripts and defect prediction.
In simple words
Using AI/ML in the test process itself — auto-generating tests, self-healing selectors, predicting risky areas.
Exam tip
AI-based testing tools include Applitools, Testim, Mabl and Functionize.
Related terms
- Machine Learning TestingTest ML systems on data, model behavior, fairness and drift — not just standard functional tests.
- Test AutomationLetting tools do the repetitive parts of testing — usually execution, but also data generation and reporting.
- Visual TestingCompare screenshots against baselines to catch UI regressions that functional tests miss.
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