{"title":"Quality Ranking of Features in Software Product Line Engineering","authors":"Lei Tan, Yuqing Lin, Li Liu","doi":"10.1109/APSEC.2014.94","DOIUrl":null,"url":null,"abstract":"Software Product Line Engineering (SPLE) is a systematic software reuse approach that developing a set of similar software products as a family. All the visible characters of the products in a product family are represented as features and their relationships are modelled in a feature model. During application engineering, desired features are selected from the feature model in a configuration process based on the requirements. In this process, the quality of final product should be considered as early as possible which requires identifying and ranking associated features' contributions to related quality attributes before configuring member products. In this paper, we propose a ranking approach to address the issues in current quality based feature ranking approaches, we also include a case study to illustrate our approach at the end.","PeriodicalId":380881,"journal":{"name":"2014 21st Asia-Pacific Software Engineering Conference","volume":"188 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"9","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2014 21st Asia-Pacific Software Engineering Conference","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/APSEC.2014.94","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 9
Abstract
Software Product Line Engineering (SPLE) is a systematic software reuse approach that developing a set of similar software products as a family. All the visible characters of the products in a product family are represented as features and their relationships are modelled in a feature model. During application engineering, desired features are selected from the feature model in a configuration process based on the requirements. In this process, the quality of final product should be considered as early as possible which requires identifying and ranking associated features' contributions to related quality attributes before configuring member products. In this paper, we propose a ranking approach to address the issues in current quality based feature ranking approaches, we also include a case study to illustrate our approach at the end.