Machine learningSoftware Testing

Mutation Testing

Mutation Testing is a fault-injection technique developed by DeMillo, Lipton, and Sayward in 1978 that evaluates test suite effectiveness by introducing small, deliberate bugs (mutations) into source code and checking if tests catch them. A test suite that kills (detects) all mutants is stronger than one that achieves high code coverage without killing mutants.

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Sources

  1. 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
  2. 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. DOI: 10.1145/2635868.2635929
  3. 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
ScholarGateMutation Testing (Mutation Testing for Test Adequacy). Retrieved 2026-06-04 from https://scholargate.app/tr/numerical-methods/mutation-testing