Soheila Bashardoust-Tajali, Vojislav D. Radonjic, J. Corriveau
{"title":"Challenges of Variability in Model-Driven and Transformational Approaches: A Systematic Survey","authors":"Soheila Bashardoust-Tajali, Vojislav D. Radonjic, J. Corriveau","doi":"10.1109/WICSA.2011.46","DOIUrl":null,"url":null,"abstract":"Variability in software architecture is a multi-facet problem, and domain-related variation is one of these several facets. In this paper, we focus exclusively on this one aspect of variation in software architecture, namely domain-related variation (or domain variability [4]). Our goal is to review existing frameworks and tools that address domain variability in the area of model-driven generative approach [4]. From this systematic survey, we identify open challenges for modeling domain variability in these areas.","PeriodicalId":234615,"journal":{"name":"2011 Ninth Working IEEE/IFIP Conference on Software Architecture","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2011-06-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2011 Ninth Working IEEE/IFIP Conference on Software Architecture","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/WICSA.2011.46","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
Variability in software architecture is a multi-facet problem, and domain-related variation is one of these several facets. In this paper, we focus exclusively on this one aspect of variation in software architecture, namely domain-related variation (or domain variability [4]). Our goal is to review existing frameworks and tools that address domain variability in the area of model-driven generative approach [4]. From this systematic survey, we identify open challenges for modeling domain variability in these areas.