三图语法的20年:未来研究的路线图

Anthony Anjorin, Erhan Leblebici, Andy Schürr
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引用次数: 31

摘要

三重图语法(tgg)提供了一种声明性的、基于规则的方法来指定不同类型图之间的二进制一致性关系。在过去的20年里,tgg已经成功地应用于一系列应用场景,包括:模型生成、一致性测试、双向模型转换和增量模型同步。本文从多个研究维度对TGG的研究进展进行综述,包括TGG研究的当前前沿和未来面临的重要挑战。我们的目标是为未来几年的TGG研究提供一个路线图,明确说明我们认为已经充分研究的领域,以及我们认为尚未开发的潜力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
20 Years of Triple Graph Grammars: A Roadmap for Future Research
Triple graph grammars (TGGs) provide a declarative, rule-based means of specifying binary consistency relationships between different types of graphs. Over the last 20 years, TGGs have been applied successfully in a range of application scenarios including: model neration,conformance testing, bidirectional model transformation, and incremental model synchronisation. In this paper, we review the progress made in TGG research up until now by exploring multiple research dimensions, including both the current frontiers of TGG research as well as important future challenges. Our aim is to provide a roadmap for the coming years of TGG research by stating clearly what we regard as adequately researched, and what we view as still unexplored potential.
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