{"title":"基于前向切片谱的故障定位","authors":"Anupama Surendran, P. Samuel","doi":"10.1145/2513228.2513309","DOIUrl":null,"url":null,"abstract":"An increase in the cost incurred during manual software testing, debugging process and the requirement for reliable test data have forced the researchers to develop an automated system for software fault localization. We have proposed a forward slicing spectrum for fault localization. The proposed approach alleviates some of the core issues of standalone fault localization techniques such as program slicing and program spectrum based methods.","PeriodicalId":120340,"journal":{"name":"Research in Adaptive and Convergent Systems","volume":"576 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Fault localization using forward slicing spectrum\",\"authors\":\"Anupama Surendran, P. Samuel\",\"doi\":\"10.1145/2513228.2513309\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"An increase in the cost incurred during manual software testing, debugging process and the requirement for reliable test data have forced the researchers to develop an automated system for software fault localization. We have proposed a forward slicing spectrum for fault localization. The proposed approach alleviates some of the core issues of standalone fault localization techniques such as program slicing and program spectrum based methods.\",\"PeriodicalId\":120340,\"journal\":{\"name\":\"Research in Adaptive and Convergent Systems\",\"volume\":\"576 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2013-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Research in Adaptive and Convergent Systems\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/2513228.2513309\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Research in Adaptive and Convergent Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/2513228.2513309","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
An increase in the cost incurred during manual software testing, debugging process and the requirement for reliable test data have forced the researchers to develop an automated system for software fault localization. We have proposed a forward slicing spectrum for fault localization. The proposed approach alleviates some of the core issues of standalone fault localization techniques such as program slicing and program spectrum based methods.