{"title":"基于频谱的故障定位有效性评估","authors":"Shuo Song","doi":"10.1145/2635868.2661680","DOIUrl":null,"url":null,"abstract":"Spectrum-Based Fault Localization (SBFL) techniques calculate risk values to predict buggy units in a program,but they may cause heavy manual work when the calculated risk values are not reasonable on some application scenarios. In this paper, presents a preliminary study to estimate the effectiveness of SBFL before manual code walk through, so that we can decide whether to adopt SBFL for a given application.","PeriodicalId":250543,"journal":{"name":"Proceedings of the 22nd ACM SIGSOFT International Symposium on Foundations of Software Engineering","volume":"27 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-11-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Estimating the effectiveness of spectrum-based fault localization\",\"authors\":\"Shuo Song\",\"doi\":\"10.1145/2635868.2661680\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Spectrum-Based Fault Localization (SBFL) techniques calculate risk values to predict buggy units in a program,but they may cause heavy manual work when the calculated risk values are not reasonable on some application scenarios. In this paper, presents a preliminary study to estimate the effectiveness of SBFL before manual code walk through, so that we can decide whether to adopt SBFL for a given application.\",\"PeriodicalId\":250543,\"journal\":{\"name\":\"Proceedings of the 22nd ACM SIGSOFT International Symposium on Foundations of Software Engineering\",\"volume\":\"27 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2014-11-11\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 22nd ACM SIGSOFT International Symposium on Foundations of Software Engineering\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/2635868.2661680\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 22nd ACM SIGSOFT International Symposium on Foundations of Software Engineering","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/2635868.2661680","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Estimating the effectiveness of spectrum-based fault localization
Spectrum-Based Fault Localization (SBFL) techniques calculate risk values to predict buggy units in a program,but they may cause heavy manual work when the calculated risk values are not reasonable on some application scenarios. In this paper, presents a preliminary study to estimate the effectiveness of SBFL before manual code walk through, so that we can decide whether to adopt SBFL for a given application.