{"title":"搜索模型迁移策略","authors":"James R. Williams, R. Paige, F. Polack","doi":"10.1145/2523599.2523607","DOIUrl":null,"url":null,"abstract":"Metamodels, like many software artefacts, are subject to evolution. If a metamodel evolves, models that previously conformed to the metamodel may become non-conformant, and must be migrated to reestablish conformance. Manually migrating models can be tedious and error prone, and a number of solutions have arisen to aid in the creation of a migration strategy - a model transformation which automates the migration. This paper asks whether we can make use of research in the field of Search-Based Software Engineering to automatically discover migration strategies, and discusses the challenges involved. In particular, we explore how tools that provide coupled evolution of metamodels and models provide a suitable platform for which to apply search techniques.","PeriodicalId":200965,"journal":{"name":"ME '12","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2012-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"20","resultStr":"{\"title\":\"Searching for model migration strategies\",\"authors\":\"James R. Williams, R. Paige, F. Polack\",\"doi\":\"10.1145/2523599.2523607\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Metamodels, like many software artefacts, are subject to evolution. If a metamodel evolves, models that previously conformed to the metamodel may become non-conformant, and must be migrated to reestablish conformance. Manually migrating models can be tedious and error prone, and a number of solutions have arisen to aid in the creation of a migration strategy - a model transformation which automates the migration. This paper asks whether we can make use of research in the field of Search-Based Software Engineering to automatically discover migration strategies, and discusses the challenges involved. In particular, we explore how tools that provide coupled evolution of metamodels and models provide a suitable platform for which to apply search techniques.\",\"PeriodicalId\":200965,\"journal\":{\"name\":\"ME '12\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2012-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"20\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"ME '12\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/2523599.2523607\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"ME '12","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/2523599.2523607","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Metamodels, like many software artefacts, are subject to evolution. If a metamodel evolves, models that previously conformed to the metamodel may become non-conformant, and must be migrated to reestablish conformance. Manually migrating models can be tedious and error prone, and a number of solutions have arisen to aid in the creation of a migration strategy - a model transformation which automates the migration. This paper asks whether we can make use of research in the field of Search-Based Software Engineering to automatically discover migration strategies, and discusses the challenges involved. In particular, we explore how tools that provide coupled evolution of metamodels and models provide a suitable platform for which to apply search techniques.