Abstract
This chapter describes mutation testing, how it has developed, the types of tools associated with it, the benefits to a quality assurance process, and the associated challenges with scaling it as a test design technique and as a consumer of resources.
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Mutant: Mutation testing for Ruby https://github.com/mbj/mutant
Lipton, R.: Fault Diagnosis of Computer Programs, student report, Carnegie Mellon University (1971)
Saxena, R., Singhal, A.: A critical review of mutation testing technique and hurdles, in 2017 International Conference on Computing, Communication and Automation (ICCCA), Greater Noida, pp. 887–892 (2017)
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Kim, S., Clark, J.A., McDermid, J.A.: Class mutation: mutation testing for object-oriented programs, p. 15
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Mull: Mull is a LLVM-based tool for Mutation Testing with a strong focus on C and C++ languages. https://github.com/mull-project/mull
Mutation Testing: Wikipedia. 03-Mar-2019. https://en.wikipedia.org/wiki/Mutation_testing
Pitest Cucumber Plugin: https://github.com/alexvictoor/pitest-cucumber-plugin
SonarQube: https://www.sonarqube.org
Sugeta, T., Maldonado, J.C., Wong, W.E.: Mutation testing applied to validate SDL specifications. In: Proceedings of the 16th IFIP International Conference on Testing of Communication Systems, Mar. 2004, p. 2741
Chaos Monkey github site: https://github.com/Netflix/SimianArmy/wiki/Chaos-Monkey
Acknowledgements
I would like to thank the following people their help: Markus Schirp for his advice and quotes as author of the mutation testing tool Mutant; and, Alex Denisov from lowlevelbits.org, for his quotes as a user of mutation testing and author of the tool Mull; and, My better half Julia for letting me disappear into writing mode on weekends;
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Smith, A.L. (2020). Chasing Mutants. In: Goericke, S. (eds) The Future of Software Quality Assurance. Springer, Cham. https://doi.org/10.1007/978-3-030-29509-7_12
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DOI: https://doi.org/10.1007/978-3-030-29509-7_12
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