影响差分演化算法生成测试数据的因素研究  

Research in influencing factors of automatic test data generation using differential evolution

作　　者：黄小城[1] 王希武[1] 靳波[2] 许宗贤[2] 米二强[1] 

机构地区：[1]军械工程学院计算机工程系 [2]中国人民解放军92510部队

出　　处：《河北工业科技》2009年第6期475-478,483,共5页Hebei Journal of Industrial Science and Technology

摘　　要：提出了一个基于差分演化算法的测试数据自动生成模型,在简要介绍模型主要组成部分的基础上,侧重分析了影响差分演化算法生成测试数据效率的主要因素,并设计实验进行深入研究和讨论,分析了控制参数的设置原则和不同策略的性能差异。The research has proposed a model of automatic test data generation based on differential evolution algorithm. After the brief introduction of the model, the primary factors that affect the efficiency of the differential evolution algorithm generating test data wet：e analyzed and some experiments were designed for deeper research and discussion. The setting principle of the control parameters and the discrepancy of the different strategies in capability were analyzed.

关 键 词：软件测试 测试数据 差分演化算法 

分 类 号：TP18[自动化与计算机技术—控制理论与控制工程]