回归测试用例优化选择研究综述  

Survey of Optimized Selection Research on Regression Test Cases

作　　者：成亚玲[1] 李健[1] 彭湘华[1] 

机构地区：[1]湖南工业职业技术学院,湖南长沙410208

出　　处：《湖南工业职业技术学院学报》2015年第2期13-20,共8页Journal of Hunan Industry Polytechnic

基　　金：湖南省教育厅科研项目<基于工作流技术的期刊在线投稿系统设计与实现>(项目编号:12C1033)

摘　　要：回归测试是软件生命周期中一项频繁进行且又开销巨大的测试过程。回归测试用例的优化选择是为了达到良好的回归测试覆盖率,提高回归测试效率。首先对测试用例优化选择研究的背景和基本概念进行介绍,然后对当前的研究工作现状和进展进行了全面而深入的综述,同时对比分析了各种优化算法适用的环境和实验研究结果,进一步指出了目前研究成果中存在的不足和对H算法的改进思路及设想,为后续研究改进算法工作的展开奠定了基础,最后对该领域内值得进一步研究的问题进行了讨论。Regression testing is a frequent and expensive process in the software life cycle.Studying the optimal selection of test cases is to ensure the good coverage premise and higher test efficiency. This paper focuses on the regression test. Firstly, the research background and basic concept are introduced, and then a comprehensive and thorough review on the current research status and progress are proposed. Meanwhile,this paper makes a comparison and analysis on all kinds of optimization algorithm suitable environment and the experimental results. Furthermore,this paper points out the defects existing in the research and the improvement ideas and suggestion of H algorithm,which lay a solid foundation on the following research work. Finally,it discusses the issues worthy of further research in this area.

关 键 词：回归测试 测试用例优化选择 启发式算法 测试用例集约简 覆盖率 

分 类 号：TP311.5[自动化与计算机技术—计算机软件与理论]