{"title":"Automated diagnosis of software misconfigurations based on static analysis","authors":"Zhen Dong, M. Ghanavati, A. Andrzejak","doi":"10.1109/ISSREW.2013.6688897","DOIUrl":null,"url":null,"abstract":"Software configuration settings are an effective way to customize applications. However, inconsistencies or mistakes in option values can result in a system crash and need huge time and effort to diagnose. We present a technique to identify the root causes of configuration errors. It uses static program analysis to link the misconfiguration of an application to a specific configuration option. Our technique has two prominent characteristics compared to existing approaches: it relies only on static analysis, and it does not need profiles of the application with correct configuration. Based on the proposed techniques, we developed a tool called ConfDebugger. We evaluated its effectiveness on 8 configuration errors in the Java program JChord. ConfDebugger successfully diagnosed 7 out of 8 errors. For 5 of them, root cause was exactly pinpointed without a false positive, and in total, the average number of false positives was only 0.5. This is better than two state-of-the-art methods, with average numbers of false positives of 1.7 and 5.7, respectively.","PeriodicalId":332420,"journal":{"name":"2013 IEEE International Symposium on Software Reliability Engineering Workshops (ISSREW)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-12-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"20","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2013 IEEE International Symposium on Software Reliability Engineering Workshops (ISSREW)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISSREW.2013.6688897","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 20
Abstract
Software configuration settings are an effective way to customize applications. However, inconsistencies or mistakes in option values can result in a system crash and need huge time and effort to diagnose. We present a technique to identify the root causes of configuration errors. It uses static program analysis to link the misconfiguration of an application to a specific configuration option. Our technique has two prominent characteristics compared to existing approaches: it relies only on static analysis, and it does not need profiles of the application with correct configuration. Based on the proposed techniques, we developed a tool called ConfDebugger. We evaluated its effectiveness on 8 configuration errors in the Java program JChord. ConfDebugger successfully diagnosed 7 out of 8 errors. For 5 of them, root cause was exactly pinpointed without a false positive, and in total, the average number of false positives was only 0.5. This is better than two state-of-the-art methods, with average numbers of false positives of 1.7 and 5.7, respectively.