计算机应用研究2016，Vol.33Issue(6)：1767-1770,4.DOI:10.3969/j.issn.1001-3695.2016.06.037
基于改进异质协同演化的测试用例生成研究
Generative research on test cases based on improved co-evolutionary of heterogeneous
摘要
Abstract
Path search is an important stage of the automatic generation of test cases.Aiming at the defect of precocity in ge-netic algorithm for the generation of test cases,this paper proposed a co-evolutionary algorithm of heterogeneous medium,which divided the group into two sub-groups:genetic group and differential group.These two small groups evolved through cooperation to exchange excellent elements by migration strategy.This method could balance the overall search capability of genetic algo-rithm and partial search of differential evolutionary algorithm.Also,the experimental results prove that this algorithm has more advantages than the traditional genetic algorithm in convergence performance of generating test cases.so this method is more suitable for the automatic generation of test cases.关键词
路径搜索/测试用例/遗传算法/差分进化算法/协同演化Key words
path search/test case/genetic algorithm/differential evolution algorithm/co-evolution分类
信息技术与安全科学引用本文复制引用
翁芬,王曙燕,孙家泽..基于改进异质协同演化的测试用例生成研究[J].计算机应用研究,2016,33(6):1767-1770,4.基金项目
国家自然科学基金资助项目（61050003）；陕西省教育厅资助项目 （）
