Using Organizational Evolutionary Particle Swarm Techniques to Generate Test Cases for Combinatorial Testing
Xiaoying Pan, Hao Chen · 2011
Based on the analysis of the characteristics of combinatorial testing, an organizational evolutionary particle swarm algorithm (OEPST) to generate test cases for combinatorial testing is proposed. This algorithm is used to select the test cases of local optimal coverage in current environment based on these test cases, and then a test suite satisfying the pair-wise coverage criterion is built. The empirical results show that this approach can effectively reduce the number of test case.