{"title":"石墨:一种基于贪心图的回归测试用例优先级技术","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":"{\"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}","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}
Graphite: A Greedy Graph-Based Technique for Regression Test Case Prioritization
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.