摘要
基于交叉熵方法提出了一种启发式划分测试用例选择策略。该策略在待测软件参数已知的条件下,以总的测试费用最小为目的,利用交叉熵方法通过调整各个子域中测试用例选择的概率来选择测试用例。
This paper presents a heuristic test cases selection strategy for partition testing. The developed approach makes use of a new stochastic optimization method called Cross Entropy method. By adjusting the selection probability in each subdomain and considering the tradeoff between failure risk and testing cost, test data was selected. Finally, Simulation results show that this optimization technique performs significantly is better than the other three testing strategies. The analysis of the experimental results obtained indicates that this optimization technique is a promising option for test case selection.
出处
《软件导刊》
2009年第5期13-16,共4页
Software Guide
基金
南京航空航天大学大学生创新基金资助
关键词
软件测试
划分测试
测试用例选择
交叉熵方法
Software Testing
Partition Testing
Test Case Selection
Cross Entropy Method
