A Metamodel-Based Matching Algorithm for Model Transformations

M. Asztalos, L. Lengyel
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引用次数: 5

Abstract

Metamodeling techniques have become the subject of research in the last decades. Different approaches of software development emphasize the use of models at all phases of the design and implementation. With metamodels, we can define the concepts of models in concrete domains. Model transformations are used to convert models to other ones. To define rules of transformations, we need to declare, which part of the input models has to be converted. By means of metamodels we can define more complex structures to be matched. In this case we need to find an instance of the defined metamodel in the input graph. The efficiency of the matching algorithms is critical during the application of model transformations. In this paper, a matching algorithm is presented that is able to find all instances of metamodels in arbitrary input models.
基于元模型的模型转换匹配算法
在过去的几十年里,元建模技术已经成为研究的主题。不同的软件开发方法强调在设计和实现的所有阶段使用模型。使用元模型,我们可以在具体领域中定义模型的概念。模型转换用于将模型转换为其他模型。为了定义转换规则,我们需要声明输入模型的哪一部分必须被转换。通过元模型,我们可以定义更复杂的结构来匹配。在这种情况下,我们需要在输入图中找到已定义元模型的实例。在模型转换的应用中,匹配算法的效率至关重要。本文提出了一种能够在任意输入模型中找到元模型的所有实例的匹配算法。
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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