Application of modified differential evolution in test data generation
改进的差分演化算法在测试数据生成中的应用

A kind of software test data automated generation method based on Differential Evolution (DE) algorithm was proposed to solve the problems of the existing method, such as too complex test data generation and the difficultly setting parameters in the algorithms, etc. This method ameliorated the operators of DE algorithm to avoid the discrete test data generation based on DE algorithm. The feasibility and validity of this method was validated through specific experiments.