Using organizational evolutionary particle swarm techniques to generate test cases for combinatorial testing
基于组织进化粒子群优化的测试用例自动生成

Based on the analysis of the characteristics of combinatorial testing, this paper proposed an organizational evolutionary particle swarm algorithm (OEPST) to generate test cases for combinatorial testing. This algorithm was used to select the test cases of local optimal coverage in current environment based on these test cases, and then built a test suite satisfying the pair-wise coverage criterion. The empirical result shows that this approach can reduce effectively the number of test case.