逻辑解算器对视图模型的增量向后更改传播*

Oszkár Semeráth, Csaba Debreceni, Á. Horváth, Dániel Varró
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引用次数: 13

摘要

视图模型是特定领域建模的关键概念,通过只突出显示系统的相关方面,为设计人员提供特定任务的焦点(例如,系统的功能或通信架构)。视图模型可以通过单向前向转换(经常由图查询捕获)来指定,并在使用增量转换技术对底层源模型进行更改时自动维护。然而,从一个或多个抽象视图追溯复杂的更改到底层源模型是一项具有挑战性的任务,通常,这需要同时分析转换规范和格式良好的约束,以在源模型中创建有效的更改。在本文中,我们介绍了一种新的基于delta的后向转换技术,该技术使用SAT求解器在源模型中合成有效且一致的变更候选项,其中仅为视图模型指定了前向转换规则。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Incremental backward change propagation of view models by logic solvers*
View models are key concepts of domain-specific modeling to provide task-specific focus (e.g., power or communication architecture of a system) to the designers by highlighting only the relevant aspects of the system. View models can be specified by unidirectional forward transformations (frequently captured by graph queries), and automatically maintained upon changes of the underlying source model using incremental transformation techniques. However, tracing back complex changes from one or more abstract view to the underlying source model is a challenging task, which, in general, requires the simultaneous analysis of transformation specifications and well-formedness constraints to create valid changes in the source model. In this paper we introduce a novel delta-based backward transformation technique using SAT solvers to synthetize valid and consistent change candidates in the source model, where only forward transformation rules are specified for the view models.
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