Logan Murphy, Alessio Di Sandro, Ramy I. Shahin, M. Chechik
{"title":"重用你最喜欢的分析框架来处理产品线模型的工作流","authors":"Logan Murphy, Alessio Di Sandro, Ramy I. Shahin, M. Chechik","doi":"10.1145/3579027.3608983","DOIUrl":null,"url":null,"abstract":"Model management frameworks support a wide array of analyses, transformations, and workflows, but lack native support for handling product lines of models. Yet the ubiquity of domains that heavily use model-driven techniques and are built using product lines, such as automotive, require adaptation, or lifting, of model management frameworks to be variability-aware. Lifting might introduce new implementation and validation costs, especially in safety-critical contexts. To facilitate the implementation and validation of variability-aware model management workflows, this paper provides a novel taxonomy of lifting methods. We compare the lifting methods in their capacity to reuse existing components and validation results. We then define a general framework for lifting and validating model management workflows, and report on an experience of lifting and validating modeling tasks and workflows in an existing Eclipse-based model management framework.","PeriodicalId":322542,"journal":{"name":"Proceedings of the 27th ACM International Systems and Software Product Line Conference - Volume A","volume":"526 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-08-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Reusing Your Favourite Analysis Framework to Handle Workflows of Product Line Models\",\"authors\":\"Logan Murphy, Alessio Di Sandro, Ramy I. Shahin, M. Chechik\",\"doi\":\"10.1145/3579027.3608983\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Model management frameworks support a wide array of analyses, transformations, and workflows, but lack native support for handling product lines of models. Yet the ubiquity of domains that heavily use model-driven techniques and are built using product lines, such as automotive, require adaptation, or lifting, of model management frameworks to be variability-aware. Lifting might introduce new implementation and validation costs, especially in safety-critical contexts. To facilitate the implementation and validation of variability-aware model management workflows, this paper provides a novel taxonomy of lifting methods. We compare the lifting methods in their capacity to reuse existing components and validation results. We then define a general framework for lifting and validating model management workflows, and report on an experience of lifting and validating modeling tasks and workflows in an existing Eclipse-based model management framework.\",\"PeriodicalId\":322542,\"journal\":{\"name\":\"Proceedings of the 27th ACM International Systems and Software Product Line Conference - Volume A\",\"volume\":\"526 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-08-28\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 27th ACM International Systems and Software Product Line Conference - Volume A\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/3579027.3608983\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 27th ACM International Systems and Software Product Line Conference - Volume A","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3579027.3608983","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Reusing Your Favourite Analysis Framework to Handle Workflows of Product Line Models
Model management frameworks support a wide array of analyses, transformations, and workflows, but lack native support for handling product lines of models. Yet the ubiquity of domains that heavily use model-driven techniques and are built using product lines, such as automotive, require adaptation, or lifting, of model management frameworks to be variability-aware. Lifting might introduce new implementation and validation costs, especially in safety-critical contexts. To facilitate the implementation and validation of variability-aware model management workflows, this paper provides a novel taxonomy of lifting methods. We compare the lifting methods in their capacity to reuse existing components and validation results. We then define a general framework for lifting and validating model management workflows, and report on an experience of lifting and validating modeling tasks and workflows in an existing Eclipse-based model management framework.