A DSML for reversible transformations

Mickaël Kerboeuf, Jean-Philippe Babau
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引用次数: 11

Abstract

In this paper, we investigate a way to promote the reuse of legacy tools (or transformations) in specific contexts (defined by specific metamodels). More precisely we suggest a model transformation approach to achieve this purpose. We first introduce a language based on a metamodel called Modif in order to specify the differences between two semantically close metamodels. We can generate automatically data migration components from a Modif specification. They enable to put data complying with the specific context under the scope of the legacy tool. But more importantly in the case of a rewriting tool, they enable to put the tool's outcome back into the original specific context. Then we propose a process and a set of helpers based on Modif to automate the reuse of legacy tools for domain-specific contexts. To illustrate this approach, we apply it to the case of simple finite state machines.
可逆转换的DSML
在本文中,我们研究了一种在特定上下文中(由特定元模型定义)促进遗留工具(或转换)重用的方法。更准确地说,我们建议采用模型转换方法来实现这一目的。我们首先引入一种基于称为Modif的元模型的语言,以便指定两个语义相近的元模型之间的差异。我们可以从一个Modif规范中自动生成数据迁移组件。它们允许将符合特定上下文的数据置于遗留工具的范围之下。但更重要的是,在重写工具的情况下,它们能够将工具的结果放回原始的特定上下文中。然后,我们提出了一个流程和一组基于Modif的帮助程序,以自动重用特定于领域上下文的遗留工具。为了说明这种方法,我们将其应用于简单有限状态机的情况。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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