搜索模型迁移策略

ME '12 Pub Date : 2012-10-01 DOI:10.1145/2523599.2523607
James R. Williams, R. Paige, F. Polack
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引用次数: 20

摘要

元模型,像许多软件工件一样,受制于进化。如果元模型发展,以前符合元模型的模型可能会变得不符合,并且必须迁移以重新建立一致性。手动迁移模型可能是乏味且容易出错的,并且已经出现了许多解决方案来帮助创建迁移策略——一种自动化迁移的模型转换。本文讨论了我们是否可以利用基于搜索的软件工程领域的研究来自动发现迁移策略,并讨论了所涉及的挑战。特别是,我们探讨了提供元模型和模型耦合演化的工具如何为应用搜索技术提供合适的平台。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Searching for model migration strategies
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.
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