基于程序变异的Simulink模型测试方法

为解决当前Simulink模型变异测试中测试执行开销大、测试用例生成效率低等问题,首先根据当前的Simulink模型变异算子集,基于程序变异技术提出了Simulink模型的变异测试过程和一组改进变异算子集.实验表明,在不影响测试用例集变异评分的情况下,该组变异算子集能够有效减少变异模型的生成数量,从而降低测试开销.其次,设计了一种基于搜索的Simulink模型变异测试用例生成方法,该方法将变异模型的测试用例生成问题转换为目标函数极小化问题,通过模拟退火算法对目标函数寻优,最终搜索出能够杀死该变异模型的测试用例.最后,将该方法应用于典型案例,验证了方法的正确性和有效性. 

Simulink model testing method based on program mutation

In order to solve the current problems (expensive testing cost and low efficiency of test case generation) in mutation test for Simulink models, a mutation testing process and an optimized set of mutation operators were proposed for Simulink models based on program mutation according to the current mutation operators for the Simulink models. Experiments show that this set of mutation operators can effectively reduce the generation number of mutation models without prejudice to the mutation score of testing case set, thus it will effectively save the testing cost. Then a search-based test case generation method for Simulink models mutation testing was described. The test case generation problem was transformed into the objective function minimization problem, and the test cases which can kill the mutation models were ultimately obtained through the optimization of objective function by algorithm of simulated annealing. Finally, the application of a typical case for the method verified the correctness and effectiveness.