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Coevolution of Second-order-mutant
2018
International Journal of Electrical and Computer Engineering (IJECE)
<span>One of the obstacles that hinder the usage of mutation testing is its impracticality, two main contributors of this are a large number of mutants and a large number of test cases involves in the process. Researcher usually tries to address this problem by optimizing the mutants and the test case separately. In this research, we try to tackle both of optimizing mutant and optimizing test-case simultaneously using a coevolution optimization method. The coevolution optimization method is
doi:10.11591/ijece.v8i5.pp3238-3249
fatcat:5ja4opsjdjf7zmo32j4svt5bju