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Comparing and classifying model transformation reuse approaches across metamodels

机译:对跨元模型的模型转换重用方法进行比较和分类

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摘要

Model transformations are essential elements of model-driven engineering (MDE) solutions, as they enable the automatic manipulation of models. MDE promotes the creation of domain-specific metamodels, but without proper reuse mechanisms, model transformations need to be developed from scratch for each new metamodel. In this paper, our goal is to understand whether transformation reuse across metamodels is needed by the community, evaluate its current state, identify practical needs and propose promising lines for further research. For this purpose, we first report on a survey to understand the reuse approaches used currently in practice and the needs of the community. Then, we propose a classification of reuse techniques based on a feature model and compare a sample of specific approaches-model types, concepts, a-posteriori typing, multilevel modeling, typing requirement models, facet-oriented modeling, mapping operators, constraint-based model types, and design patterns for model transformations-based on this feature model and a common example. We discuss strengths and weaknesses of each approach, provide a reading grid used to compare their features, compare with community needs, identify gaps in current transformation reuse approaches in relation to these needs and propose future research directions.
机译:模型转换是模型驱动工程(MDE)解决方案的基本元素,因为它们使模型能够自动操纵。 MDE促进了特定领域元模型的创建,但是如果没有适当的重用机制,则需要为每个新元模型从头开发模型转换。在本文中,我们的目标是了解社区是否需要跨元模型的转换重用,评估其当前状态,确定实际需求并为进一步的研究提出有希望的思路。为此,我们首先进行一项调查报告,以了解当前在实践中使用的重用方法以及社区的需求。然后,我们提出基于特征模型的重用技术分类,并比较特定方法的样本-模型类型,概念,后验类型,多级建模,类型需求模型,面向方面的建模,映射运算符,基于约束的模型类型和模型转换的设计模式-基于此功能模型和一个常见示例。我们讨论了每种方法的优缺点,提供了一个用于比较其功能,与社区需求进行比较的阅读网格,确定了与这些需求相关的当前转换复用方法中的差距,并提出了未来的研究方向。

著录项

  • 来源
    《Software and systems modeling》 |2020年第2期|441-465|共25页
  • 作者

  • 作者单位

    Univ Toulouse IRIT Toulouse France;

    Univ Toulouse INRIA Toulouse France;

    Univ Autonoma Madrid Madrid Spain;

    Univ Rennes CNRS INRIA IRISA Rennes France;

    McGill Univ Montreal PQ Canada;

    Univ Montreal Montreal PQ Canada;

    McGill Univ Montreal PQ Canada|Univ Antwerp Antwerp Belgium;

  • 收录信息
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Model transformation; Reuse; Survey; Classification; Feature model;

    机译:模型转换;重用;调查;分类;特征模型;
  • 入库时间 2022-08-18 05:21:17

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