Kill All Mutants! (Intro to Mutation Testing)
summary
Explains how mutation testing actually works: AST-based tools make thousands of tiny code variations and run only the covering tests, flagging surviving mutants (examples: four survivors on a simple power function) so you know which inputs or assertions are missing. Shows fixes—add a test for 2^4 and 2^3 to kill arithmetic and swap-argument mutants—and demonstrates finding redundant code by removing loop control. Mentions real tools like Mutant (Ruby), mutate.py (C) and llvm-mutate, warns it is CPU‑heavy and needs careful filtering.
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chapters (12)
- 0:00Introduction to the topic
- 2:39What is mutation testing
- 7:33Key objectives and goals
- 9:16Drawbacks and challenges
- 12:40How it works in practice
- 15:23Technical workflow
- 21:20Types of mutations
- 31:50Walking through examples
- 39:12Interpreting results
- 45:29Frequently asked questions
- 55:15Tools and resources
- 57:49Q&A session
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