{"title":"Applying the product lines paradigm to the quantitative analysis of collective adaptive systems","authors":"M. T. Beek, A. Fantechi, S. Gnesi","doi":"10.1145/2791060.2791100","DOIUrl":null,"url":null,"abstract":"Engineering a Collective Adaptive System (CAS) requires the support of a framework for quantitative modeling and analysis of the system. In order to jointly address variability and quantitative analysis, we apply the Product Lines paradigm, considered at the level of system engineering, to a case study of the European project QUANTICOL, by first defining a reference feature model and then adding feature attributes and global quantitative constraints, in the form of a Clafer attributed feature model. ClaferMOOVisualizer is subsequently used for quantitative analyses and multi-objective optimization of the resulting attributed feature model.","PeriodicalId":339158,"journal":{"name":"Proceedings of the 19th International Conference on Software Product Line","volume":"11 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-07-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"7","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 19th International Conference on Software Product Line","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/2791060.2791100","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 7
Abstract
Engineering a Collective Adaptive System (CAS) requires the support of a framework for quantitative modeling and analysis of the system. In order to jointly address variability and quantitative analysis, we apply the Product Lines paradigm, considered at the level of system engineering, to a case study of the European project QUANTICOL, by first defining a reference feature model and then adding feature attributes and global quantitative constraints, in the form of a Clafer attributed feature model. ClaferMOOVisualizer is subsequently used for quantitative analyses and multi-objective optimization of the resulting attributed feature model.