{"title":"识别突变包容关系","authors":"Beatriz Souza","doi":"10.1145/3324884.3418921","DOIUrl":null,"url":null,"abstract":"One recent promising direction in reducing costs of mutation analysis is to identify redundant mutations. We propose a technique to discover redundant mutations by proving subsumption relations among method-level mutation operators using weak mutation testing. We conceive and encode a theory of subsumption relations in Z3 for 40 mutation targets (mutations of an expression or statement). Then we prove a number of subsumption relations using the Z3 theorem prover, and reduce the number of mutations in a number of mutation targets. MUJAvA-M includes some subsumption relations in Mujava. We apply Mujava and Mujava-m to 187 classes of 17 projects. Our approach correctly discards mutations in 74.97% of the cases, and reduces the number of mutations by 72.52%.","PeriodicalId":106337,"journal":{"name":"2020 35th IEEE/ACM International Conference on Automated Software Engineering (ASE)","volume":"46 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"Identifying Mutation Subsumption Relations\",\"authors\":\"Beatriz Souza\",\"doi\":\"10.1145/3324884.3418921\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"One recent promising direction in reducing costs of mutation analysis is to identify redundant mutations. We propose a technique to discover redundant mutations by proving subsumption relations among method-level mutation operators using weak mutation testing. We conceive and encode a theory of subsumption relations in Z3 for 40 mutation targets (mutations of an expression or statement). Then we prove a number of subsumption relations using the Z3 theorem prover, and reduce the number of mutations in a number of mutation targets. MUJAvA-M includes some subsumption relations in Mujava. We apply Mujava and Mujava-m to 187 classes of 17 projects. Our approach correctly discards mutations in 74.97% of the cases, and reduces the number of mutations by 72.52%.\",\"PeriodicalId\":106337,\"journal\":{\"name\":\"2020 35th IEEE/ACM International Conference on Automated Software Engineering (ASE)\",\"volume\":\"46 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-09-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2020 35th IEEE/ACM International Conference on Automated Software Engineering (ASE)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/3324884.3418921\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 35th IEEE/ACM International Conference on Automated Software Engineering (ASE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3324884.3418921","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
One recent promising direction in reducing costs of mutation analysis is to identify redundant mutations. We propose a technique to discover redundant mutations by proving subsumption relations among method-level mutation operators using weak mutation testing. We conceive and encode a theory of subsumption relations in Z3 for 40 mutation targets (mutations of an expression or statement). Then we prove a number of subsumption relations using the Z3 theorem prover, and reduce the number of mutations in a number of mutation targets. MUJAvA-M includes some subsumption relations in Mujava. We apply Mujava and Mujava-m to 187 classes of 17 projects. Our approach correctly discards mutations in 74.97% of the cases, and reduces the number of mutations by 72.52%.