Kill All Mutants! (Intro to Mutation Testing)
summary
Mutation testing mutates copies of functions to check two concrete things: whether tests are strict enough and whether code is meaningful. Tools parse the AST, generate operator/logic/value/loop mutations, then run the covering tests; results are killed/survived mutants that point to test gaps or redundant code. Expect heavy cost — roughly 200× test runs compared to normal testing — but many tools offer incremental mode and per-line exclusions to make it practical.
AI-written summary · about
chapters (8)
- 0:00Introduction
- 1:13Mutation testing basics
- 6:14How mutation testing works
- 14:50Mutation examples
- 20:11Complex example analysis
- 23:43History and resource needs
- 25:27Summary and tools
- 26:53Q&A
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