{"title":"Graphite: A Greedy Graph-Based Technique for Regression Test Case Prioritization","authors":"Maral Azizi, Hyunsook Do","doi":"10.1109/ISSREW.2018.00014","DOIUrl":null,"url":null,"abstract":"To date, various test prioritization techniques have been developed, but the majority of these techniques consider a single objective that could limit the applicability of prioritization techniques by ignoring practical constraints imposed on regression testing. Multi-objective prioritization techniques try to reorder test cases so that they can optimize multiple goals that testers want to achieve. In this paper, we introduced a novel graph-based framework that maps the prioritization task to a graph traversal algorithm. To evaluate our approach, we performed an empirical study using 20 versions of four open source applications. Our results indicate that the use of the graph-based technique can improve the effectiveness and efficiency of test case prioritization technique.","PeriodicalId":321448,"journal":{"name":"2018 IEEE International Symposium on Software Reliability Engineering Workshops (ISSREW)","volume":"380 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"18","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 IEEE International Symposium on Software Reliability Engineering Workshops (ISSREW)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISSREW.2018.00014","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 18
Abstract
To date, various test prioritization techniques have been developed, but the majority of these techniques consider a single objective that could limit the applicability of prioritization techniques by ignoring practical constraints imposed on regression testing. Multi-objective prioritization techniques try to reorder test cases so that they can optimize multiple goals that testers want to achieve. In this paper, we introduced a novel graph-based framework that maps the prioritization task to a graph traversal algorithm. To evaluate our approach, we performed an empirical study using 20 versions of four open source applications. Our results indicate that the use of the graph-based technique can improve the effectiveness and efficiency of test case prioritization technique.