Shadow models: incremental transformations for MPS

Markus Voelter, K. Birken, Sascha Lisson, Alexander Rimer
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引用次数: 5

Abstract

Shadow Models is an incremental transformation framework for MPS. The name is motivated by the realization that many analyses are easier to do on an model whose structure is different from what the user edits. To be able to run such analyses interactively in an IDE, these ``shadows'' of the user-facing model must be maintained in realtime, and incrementality can deliver the needed short response times. Shadow Models is an incremental model transformation engine for MPS. In the paper we motivate the system through example use cases, and outline the transformation framework.
阴影模型:MPS的增量转换
影子模型是MPS的增量转换框架。这个名称源于这样一种认识,即在结构与用户编辑的模型不同的模型上更容易进行许多分析。为了能够在IDE中交互式地运行这样的分析,必须实时地维护这些面向用户模型的“影子”,并且增量可以提供所需的短响应时间。Shadow Models是一个用于MPS的增量模型转换引擎。在本文中,我们通过示例用例来激励系统,并概述了转换框架。
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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