基于具有多重性的类型图的自动适应变换

Quyet-Thang Pham, A. Beugnard
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引用次数: 2

摘要

不同元模型项目中重新定义的相同领域概念,其命名、表示和连接方式可能不同。事实证明,为特定元模型定义的转换不能直接用于另一个元模型。为了解决这个问题,我们提出了一种自动调整遗留转换的方法。新元模型的表示方法与原始元模型略有不同,而转换意图却得以保留。为此,我们首先引入了一种领域专用语言(DSL),允许用户描述两个元模型元素之间的预期对应关系。然后,我们提供一个适应引擎,利用这些用户定义的对应关系来自动适应转换。我们还提出了一种基于图的类型关系,可实现安全的适配。我们的方法已在 MOMENT2 中进行了原型验证,并可用于任何基于相同图转换范式的框架。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Automatic Adaptation of Transformations Based on Type Graph with Multiplicity
Identical domain concepts reified in different metamodelling projects may be named, represented and connected differently. It turns out that a transformation defined for a particular metamodel cannot be directly used for another metamodel. To tackle this problem, we propose a process for automatically adapting legacy transformations. Such a transformation is adapted to the new metamodel that has a slightly different representation in comparison with the original one, while the transformation intention is preserved. To this end, we first introduce a Domain Specific Language (DSL) that allows users to describe the intended correspondences between elements of two metamodels. Then we provide an adaptation engine using these user-defined correspondences to adapt the transformation automatically. We also propose a graph-based typing relation that enables safe adaptations. Our approach has been prototyped with MOMENT2 and can be used with any framework based on the same graph transformation paradigm.
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