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.
出处
《河北工业科技》
CAS
2009年第6期475-478,483,共5页
Hebei Journal of Industrial Science and Technology
关键词
软件测试
测试数据
差分演化算法
software testing
test data
differential evolution algorithms
作者简介
黄小城（1983-），男，福建南安人，硕士研究生，主要从事软件测试方面的研究。
