Mutation based test case generation via a path selection strategy
Information and Software Technology
Sound empirical evidence in software testing
Proceedings of the 34th International Conference on Software Engineering
Test suite generation with memetic algorithms
Proceedings of the 15th annual conference on Genetic and evolutionary computation
Does automated white-box test generation really help software testers?
Proceedings of the 2013 International Symposium on Software Testing and Analysis
Current challenges in automatic software repair
Software Quality Control
Post-compiler software optimization for reducing energy
Proceedings of the 19th international conference on Architectural support for programming languages and operating systems
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To assess the quality of test suites, mutation analysis seeds artificial defects (mutations) into programs; a nondetected mutation indicates a weakness in the test suite. We present an automated approach to generate unit tests that detect these mutations for object-oriented classes. This has two advantages: First, the resulting test suite is optimized toward finding defects modeled by mutation operators rather than covering code. Second, the state change caused by mutations induces oracles that precisely detect the mutants. Evaluated on 10 open source libraries, our μtest prototype generates test suites that find significantly more seeded defects than the original manually written test suites.