GaSubtle: A New Genetic Algorithm for Generating Subtle Higher-Order Mutants

Mutation testing is an effective, yet costly, approach, as it requires generating and running large numbers of faulty programs, called mutants. also suffers from a fundamental problem, which having percentage equivalent These are mutants that produce the same output original program, therefore, cannot be detected. Higher-order mutation promising approach can hard-to-detect programs subtle mutants, with low Subtle higher-order contribute small set space grows even larger order becomes higher. In this paper, we developed genetic algorithm for finding The proposed uses new mechanism in crossover phase five selection techniques to select go next generation algorithm. We implemented tool, GaSubtle automates process creating evaluated by using 10 subject programs. Our evaluation shows generates more than technique used previous less execution time. Results vary on strategies, suggesting dependency relation tested code.