{"title":"Textual Variability Modeling Languages: An Overview and Considerations","authors":"M. T. Beek, Klaus Schmid, Holger Eichelberger","doi":"10.1145/3307630.3342398","DOIUrl":null,"url":null,"abstract":"During the three decades since the invention of the first variability modeling approach [28], there have been multiple attempts to introduce advanced variability modeling capabilities. More recently, we have seen increased attention on textual variability modeling languages. In this paper, we summarize the main capabilities of state of the art textual variability modeling languages, based on [23], including updates regarding more recent work. Based on this integrated characterization, we provide a discussion of additional concerns, opportunities and challenges that are relevant for designing future (textual) variability modeling languages. The paper also summarizes relevant contributions by the authors as input to further discussions on future (textual) variability modeling languages.","PeriodicalId":424711,"journal":{"name":"Proceedings of the 23rd International Systems and Software Product Line Conference - Volume B","volume":"11 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-09-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"24","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 23rd International Systems and Software Product Line Conference - Volume B","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3307630.3342398","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 24
Abstract
During the three decades since the invention of the first variability modeling approach [28], there have been multiple attempts to introduce advanced variability modeling capabilities. More recently, we have seen increased attention on textual variability modeling languages. In this paper, we summarize the main capabilities of state of the art textual variability modeling languages, based on [23], including updates regarding more recent work. Based on this integrated characterization, we provide a discussion of additional concerns, opportunities and challenges that are relevant for designing future (textual) variability modeling languages. The paper also summarizes relevant contributions by the authors as input to further discussions on future (textual) variability modeling languages.