Instantiation of meta-models constrained with OCL: A CSP approach

Adel Ferdjoukh, Anne-Elisabeth Baert, Eric Bourreau, A. Chateau, Rémi Coletta, C. Nebut
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引用次数: 11

Abstract

The automated generation of models that conform to a given meta-model is an important challenge in Model Driven Engineering, as well for model transformation testing, as for designing and exploring new meta-models. Amongst the main issues, we are mainly concerned by scalability, flexibility and a reasonable computing time. This paper presents an approach for model generation, which relies on Constraint Programming. After the translation of a meta-model into a CSP, our software generates models that conform to this meta-model, using a Constraint Solver. Our model also includes the most frequent types of OCL constraints. Since we are concerned by the relevance of the produced models, we describe a first attempt to improve them. We outperform the existing approaches from the mentioned point of view, and propose a configurable, easy-to-use and free-access tool, together with an on-line demonstrator.
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用OCL约束的元模型实例化:一种CSP方法
在模型驱动工程中,自动生成符合给定元模型的模型,以及模型转换测试,以及设计和探索新的元模型,都是一个重要的挑战。在主要问题中,我们主要关注可伸缩性、灵活性和合理的计算时间。本文提出了一种基于约束规划的模型生成方法。在将元模型转换为CSP之后,我们的软件使用约束求解器生成符合该元模型的模型。我们的模型还包括最常见的OCL约束类型。由于我们关注所生成模型的相关性,我们描述了改进它们的第一次尝试。从上述角度来看,我们超越了现有的方法,并提出了一个可配置,易于使用和免费访问的工具,以及一个在线演示器。
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