Machine learningSoftware Testing
变异测试
变异测试是一种故障注入技术，由 DeMillo、Lipton 和 Sayward 于 1978 年开发，通过在源代码中引入微小的、故意的错误（变异体）并检查测试是否能捕获它们来评估测试套件的有效性。能够杀死（检测到）所有变异体的测试套件比那些在不杀死变异体的情况下实现高代码覆盖率的测试套件更强大。
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来源
- DeMillo, R. A., Lipton, R. J., & Sayward, F. G. (1978). Hints on test data selection: Help for the practicing programmer. IEEE Computer, 11(4), 34–41. DOI: 10.1109/C-M.1978.218136 ↗
- Just, R., Jalali, D., Inozemtseva, L., Ernst, M. D., & Holmes, R. (2014). Are mutants killed by tests? How test suite composition affects the effectiveness of mutation testing. Proceedings of the 22nd ACM SIGSOFT International Symposium on Foundations of Software Engineering. link ↗
- Jia, Y., & Harman, M. (2010). An analysis and survey of the development of mutation testing. IEEE Transactions on Software Engineering, 37(5), 649–678. DOI: 10.1109/TSE.2010.62 ↗
如何引用本页
ScholarGate. (2026, June 3). Mutation Testing for Test Adequacy. ScholarGate. https://scholargate.app/zh/numerical-methods/mutation-testing