{"title":"Traceability Metrics as Early Predictors of Software Defects?","authors":"Bashar Nassar, R. Scandariato","doi":"10.1109/ICSA.2017.12","DOIUrl":null,"url":null,"abstract":"This paper investigates two metrics related to the traceability relationships that exist between requirements and architectural design. In particular, we look into cross-cutting requirements, i.e., requirements that are implemented by several components, and, conversely, into overloaded components, i.e., components that implement several requirements. The intuition is that intricate dependencies between requirements and architectural components might be the precursors of software defects. Using empirical data from one industrial application in the automotive domain, we study the predictive power of such metrics.","PeriodicalId":6599,"journal":{"name":"2017 IEEE International Conference on Software Architecture (ICSA)","volume":"69 1","pages":"235-238"},"PeriodicalIF":0.0000,"publicationDate":"2017-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 IEEE International Conference on Software Architecture (ICSA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICSA.2017.12","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 6
Abstract
This paper investigates two metrics related to the traceability relationships that exist between requirements and architectural design. In particular, we look into cross-cutting requirements, i.e., requirements that are implemented by several components, and, conversely, into overloaded components, i.e., components that implement several requirements. The intuition is that intricate dependencies between requirements and architectural components might be the precursors of software defects. Using empirical data from one industrial application in the automotive domain, we study the predictive power of such metrics.