Metamorphic Testing
summary
Metamorphic testing claims to solve the no-oracle problem by checking consistency across transformed test cases and demonstrates concrete wins: a glossary checker yields 6 missing terms when keyword filters partition results, database queries at NASA reveal many defects, a drone controller flips behavior at 27 degrees, and web search studies plus a Sevilla survey report 82 case studies. Origin traces to Chen 1998, the method integrates with model-based testing and automation and appears in ISO 29119 part 4 and ISTQB AI testing.
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chapters (12)
- 0:00Metamorphic testing concept
- 1:31Oracle problem in testing
- 3:40Metamorphic testing solution
- 5:29Real-world glossary checker
- 7:36Metamorphic relation failure
- 9:22History and adoption
- 11:53NASA and search engines case studies
- 14:43AI controllers for drones
- 16:11Autonomous driving failures
- 17:37Testing work products
- 19:48Conclusion and future
- 20:29Q&A
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