测试方法对软件失效数据影响的实验分析  

Empirical Study on Effects of Testing Methods on Software Failure Data

作　　者：李晓雪[1] 丁佐华[1] 胡觉亮[1] 

机构地区：[1]浙江理工大学科学计算与软件工程实验室,杭州310018

出　　处：《浙江理工大学学报（自然科学版）》2014年第4期429-433,共5页Journal of Zhejiang Sci-Tech University(Natural Sciences)

基　　金：国家自然科学基金(61210004)

摘　　要：失效数据常被用于评估软件的质量、监测和预测软件的运行情况,不同的测试方法对失效数据的影响是研究的重点。采用随机测试、分支覆盖测试和分块覆盖测试这3种不同的测试方法选取测试用例集,运用Daikon动态地获取程序不变量,再从这些不变量中提取失效数据,比较分析哪种方法可以获取更多的失效数据。通过实验得出结论:在3种测试方法中,随机测试方法可以获得更多的失效数据。Failure data are often used to evaluate the quality of software,monitor and predict the operation situation of software.The effect of different testing methods on failure data is the focus of the current studies.Firstly,this paper adopts three different testing methods：random testing,branch-coverage testing and block-coverage testing to select test case set,respectively.Secondly,program invariants for each method are obtained dynamically by Daikon tool,and the failure data are then extracted from program invariants.Finally,the number of failure data gotten from each method is compared.It comes to the conclusion that random testing can get the most failure data among the three methods.

关 键 词：失效数据 测试方法 随机测试 测试用例集 程序不变量 

分 类 号：TP311.55[自动化与计算机技术—计算机软件与理论]