An Improved Algorithm for Test Data Generation Based on Particle Swarm Optimization

The test case generation is one of key issues of combinatorial testing. In this paper, a new algorithm for test data generation based on Particle Swarm Optimization (PSO) is presented. Based on Particle Swarm Optimization, the optimization base and extended parameters are introduced. The number of the current output test data is adjusted dynamically according to the data generated before. The efficiency of the test data generation is improved effectively on the premise of ensuring the optimization of the data generated.