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Extremo: An Eclipse plugin for modelling and meta-modelling assistance

机译:Extremo:用于建模和元建模帮助的Eclipse插件

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摘要

Modelling is a core activity in software development paradigms like Model-driven Engineering (MDE). Therefore, the quality of (meta-)models is crucial for the success of software projects. However, many times, modelling becomes a purely manual activity, which does not take advantage of information embedded in heterogeneous information sources, such as XML documents, ontologies, or other models and meta-models.In order to improve this situation, we present EXTREMO, an Eclipse plugin aimed at gathering the information stored in heterogeneous sources in a common data model, to facilitate the reuse of information chunks in the model being built. The tool covers the steps needed to incorporate this knowledge within an external modelling tool, supporting the uniform query of the heterogeneous sources and the evaluation of constraints. Flexibility of the main features (e.g., supported data formats, queries) is achieved by means of extensible mechanisms. To illustrate the usefulness of EXTREMO, we describe a practical case study in the financial domain and evaluate its performance and scalability. (C) 2019 Elsevier B.V. All rights reserved.
机译:建模是诸如模型驱动工程(MDE)之类的软件开发范例中的核心活动。因此,(元)模型的质量对于软件项目的成功至关重要。但是,建模常常变成纯粹的手动活动,没有利用嵌入在异构信息源中的信息的优势,例如XML文档,本体或其他模型和元模型。为了改善这种情况,我们提出了EXTREMO ,这是一个Eclipse插件,旨在在通用数据模型中收集存储在异构源中的信息,以促进在正在构建的模型中重用信息块。该工具涵盖了将这些知识整合到外部建模工具中所需的步骤,从而支持对异构源的统一查询和约束评估。主要功能(例如支持的数据格式,查询)的灵活性是通过可扩展的机制实现的。为了说明EXTREMO的有用性,我们描述了金融领域的实际案例研究,并评估了其性能和可伸缩性。 (C)2019 Elsevier B.V.保留所有权利。

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