D. Binkley, R. Capellini, L. R. Raszewski, Christopher Smith
{"title":"An implementation of and experiment with semantic differencing","authors":"D. Binkley, R. Capellini, L. R. Raszewski, Christopher Smith","doi":"10.1109/ICSM.2001.972714","DOIUrl":null,"url":null,"abstract":"Software maintainers face a wide range of difficult tasks including impact analysis and regression testing. Understanding semantic relationships, such as the semantic cohesiveness in a program or the semantic differences between two programs, can help a maintainer address these problems. However, semantic analysis is a difficult problem. For example, few semantic differencing algorithms and even fewer implementations exist. The first semantic differencing implementation for the C language is presented and studied. A large collection of semantic differences of 10 programs are computed. The average size reduction was 37.70%. The study presented illustrates the practicality of semantics differencing. Finally, the application of semantic differencing in the area of program testing and impact analysis is considered.","PeriodicalId":160032,"journal":{"name":"Proceedings IEEE International Conference on Software Maintenance. ICSM 2001","volume":"17 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2001-11-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"21","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings IEEE International Conference on Software Maintenance. ICSM 2001","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICSM.2001.972714","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 21
Abstract
Software maintainers face a wide range of difficult tasks including impact analysis and regression testing. Understanding semantic relationships, such as the semantic cohesiveness in a program or the semantic differences between two programs, can help a maintainer address these problems. However, semantic analysis is a difficult problem. For example, few semantic differencing algorithms and even fewer implementations exist. The first semantic differencing implementation for the C language is presented and studied. A large collection of semantic differences of 10 programs are computed. The average size reduction was 37.70%. The study presented illustrates the practicality of semantics differencing. Finally, the application of semantic differencing in the area of program testing and impact analysis is considered.