Optimize the software testing efficiency using genetic algorithm and mutation analysis

摘要

In this paper a method has been proposed to optimize the software testing efficiency using Genetic Algorithm and Mutation Analysis. First a program is written and intended some mutant in this program and then found most critical path and optimized test cases using genetic algorithm. These test cases are refined using genetic algorithm. A mutant function has been used for measuring the adequacy of the test case sets. This mutant function find a mutant score, on the bases of this mutation function 100% path coverage and boundary coverage achieved using mutation testing.