图转换对模型组合可追溯性的使用

Youness Laghouaouta, M. Nassar, A. Anwar, J. Bruel
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引用次数: 4

摘要

模型组合为基于一组不太复杂的子模型构建系统提供了支持。此操作允许管理复杂性,同时支持模块化和可重用性任务。由于涉及模型的数量增加,它们的组成成为一项繁琐的任务。为此,需要维护可跟踪性信息,以帮助管理组合操作。在这项工作中,我们提出了一种基于图的模型转换方法,旨在跟踪模型组合操作。我们的目标是以自动和可重用的方式捕获痕迹。最后,给出了一个组合场景来证明我们的建议的可行性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
On the use of graph transformations for model composition traceability
The model composition provides support to build systems based on a set of less complex sub-models. This operation allows managing complexity while supporting the modularity and reusability tasks. Due to the increase number of the involving models, their composition becomes a tedious task. For that, the need for maintaining traceability information is raised to help managing the composition operation. We propose in this work a graph-based model transformations approach, which aims to keep track of the model composition operation. Our objective is to capture traces in an automatic and reusable manner. Finally, a composition scenario is given to demonstrate the feasibility of our proposal.
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