{"title":"Mappings for accurately reverse engineering UML class models from C++","authors":"A. Sutton, Jonathan I. Maletic","doi":"10.1109/WCRE.2005.21","DOIUrl":null,"url":null,"abstract":"The paper introduces a number of mapping rules for reverse engineering UML class models from C++ source code. The mappings focus on accurately identifying such elements as relationship types, multiplicities, and aggregation semantics. These mappings are based on domain knowledge of the C++ language and common programming conventions and idioms. An application implementing these heuristics is used to reverse engineer a moderately sized open source, C++ application, and the resultant class model is compared against those produced by other UML reverse engineering applications. A comparison shows that these presented mapping rules effectively produce meaningful, semantically accurate UML models","PeriodicalId":119724,"journal":{"name":"12th Working Conference on Reverse Engineering (WCRE'05)","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2005-11-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"23","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"12th Working Conference on Reverse Engineering (WCRE'05)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/WCRE.2005.21","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 23
Abstract
The paper introduces a number of mapping rules for reverse engineering UML class models from C++ source code. The mappings focus on accurately identifying such elements as relationship types, multiplicities, and aggregation semantics. These mappings are based on domain knowledge of the C++ language and common programming conventions and idioms. An application implementing these heuristics is used to reverse engineer a moderately sized open source, C++ application, and the resultant class model is compared against those produced by other UML reverse engineering applications. A comparison shows that these presented mapping rules effectively produce meaningful, semantically accurate UML models