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Refining Models with Rule-based Model Transformations

机译:通过基于规则的模型转换完善模型

摘要

Several model-to-model transformation languages have been primarily designed to easily address the syntactic and semantic translation of read-only input models towards write-only output models. While this approach has been proven successful in many practical cases, it is not directly applicable to transformations that need to modify their source models, like refactorings. In this paper we investigate the application of a model-to-model transformation language to in-place transformations, by providing a systematic view of the problem, comparing alternative solutions and proposing a transformation semantics to address this problem in ATL.
机译:主要设计了几种模型到模型的转换语言,以轻松解决只读输入模型向只写输出模型的句法和语义转换。尽管此方法已在许多实际情况下被证明是成功的,但它并不直接适用于需要修改其源模型的转换,例如重构。在本文中,我们通过提供问题的系统视图,比较替代解决方案并提出转换语义来解决ATL中的问题,研究了模型到模型转换语言在就地转换中的应用。

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