A. Cicchetti, D. D. Ruscio, Romina Eramo, A. Pierantonio
{"title":"Automating Co-evolution in Model-Driven Engineering","authors":"A. Cicchetti, D. D. Ruscio, Romina Eramo, A. Pierantonio","doi":"10.1109/EDOC.2008.44","DOIUrl":null,"url":null,"abstract":"Software development is witnessing the increasing need of version management techniques for supporting the evolution of model-based artefacts. In this respect, metamodels can be considered one of the basic concepts of model-driven engineering and are expected to evolve during their life-cycle. As a consequence, models conforming to changed metamodels have to be updated for preserving their well-formedness. This paper deals with the co-adaptation problems by proposing higher-order model transformations which take a difference model recording the metamodel evolution and produce a model transformation able to co-evolve the involved models.","PeriodicalId":210496,"journal":{"name":"2008 12th International IEEE Enterprise Distributed Object Computing Conference","volume":"109 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2008-09-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"288","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2008 12th International IEEE Enterprise Distributed Object Computing Conference","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/EDOC.2008.44","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 288
Abstract
Software development is witnessing the increasing need of version management techniques for supporting the evolution of model-based artefacts. In this respect, metamodels can be considered one of the basic concepts of model-driven engineering and are expected to evolve during their life-cycle. As a consequence, models conforming to changed metamodels have to be updated for preserving their well-formedness. This paper deals with the co-adaptation problems by proposing higher-order model transformations which take a difference model recording the metamodel evolution and produce a model transformation able to co-evolve the involved models.