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Test suite generation with memetic algorithms
2013
Proceeding of the fifteenth annual conference on Genetic and evolutionary computation conference - GECCO '13
Genetic Algorithms have been successfully applied to the generation of unit tests for classes, and are well suited to create complex objects through sequences of method calls. However, because the neighborhood in the search space for method sequences is huge, even supposedly simple optimizations on primitive variables (e.g., numbers and strings) can be ineffective or unsuccessful. To overcome this problem, we extend the global search applied in the EvoSuite test generation tool with local
doi:10.1145/2463372.2463548
dblp:conf/gecco/FraserAM13
fatcat:k6hcymj4w5g2xay6ivejtg2tta