建立 EMF 和 MSDKVS 之间的互操作性:转换元模型和模型的 M3 级桥梁

IF 2 3区 计算机科学 Q3 COMPUTER SCIENCE, SOFTWARE ENGINEERING
Florian Cesal, Dominik Bork
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引用次数: 0

摘要

目前有许多功能强大的元建模平台,可支持模型驱动软件工程(MDSE),每个平台都有自己的优势、劣势、功能、编程语言和开发人员社区。平台的互操作性将使用户能够利用它们的共同优势。这种互操作性允许将一个平台上创建的元模型和模型转换为其他平台上的等效元模型和模型。这样,语言工程师就可以自由选择元建模平台,而不必冒被锁定的风险。eclipse 建模框架(EMF)和 visual studio 的建模 SDK(MSDKVS)是两个记录完备且公开可用的元建模平台。在本文中,我们提出了一种 M3-level-bridge (M3B),可在 EMF 和 MSDKVS 之间建立抽象语法级和图形具体语法级的互操作性。为了建立这种互操作性,我们(i) 比较了这两个平台,(ii) 提出了它们之间的概念映射,(iii) 实现了包括元模型和模型层在内的双向转换桥。我们通过转换一系列公开可用的元模型以及自动生成或手动创建的模型来评估我们的方法。然后利用转换结果对转换的有效性、可执行性和可表达性进行定量和定性评估。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Establishing interoperability between EMF and MSDKVS: an M3-level-bridge to transform metamodels and models

Establishing interoperability between EMF and MSDKVS: an M3-level-bridge to transform metamodels and models

Many powerful metamodeling platforms enabling model-driven software engineering (MDSE) exist, each with its strengths, weaknesses, functionalities, programming language(s), and developer community. Platform interoperability would enable users to exploit their mutual benefits. Such interoperability would allow the transformation of metamodels and models created in one platform into equivalent metamodels and models in other platforms. Language engineers could then freely choose the metamodeling platform without risking a lock-in effect. Two well-documented and publicly available metamodeling platforms are the eclipse modeling framework (EMF) and the modeling SDK for visual studio (MSDKVS). In this paper, we propose an M3-level-bridge (M3B) that establishes interoperability between EMF and MSDKVS on the abstract syntax level and on the graphical concrete syntax level. To establish such interoperability we (i) compare the two platforms, (ii) present a conceptual mapping between them, and (iii) implement a bidirectional transformation bridge including both the metamodel and model layer. We evaluate our approach by transforming a collection of publicly available metamodels and automatically generated or manually created models thereof. The transformation outcomes are then used to quantitatively and qualitatively evaluate the transformation’s validity, executability, and expressiveness.

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来源期刊
Software and Systems Modeling
Software and Systems Modeling 工程技术-计算机:软件工程
CiteScore
6.00
自引率
20.00%
发文量
104
审稿时长
>12 weeks
期刊介绍: We invite authors to submit papers that discuss and analyze research challenges and experiences pertaining to software and system modeling languages, techniques, tools, practices and other facets. The following are some of the topic areas that are of special interest, but the journal publishes on a wide range of software and systems modeling concerns: Domain-specific models and modeling standards; Model-based testing techniques; Model-based simulation techniques; Formal syntax and semantics of modeling languages such as the UML; Rigorous model-based analysis; Model composition, refinement and transformation; Software Language Engineering; Modeling Languages in Science and Engineering; Language Adaptation and Composition; Metamodeling techniques; Measuring quality of models and languages; Ontological approaches to model engineering; Generating test and code artifacts from models; Model synthesis; Methodology; Model development tool environments; Modeling Cyberphysical Systems; Data intensive modeling; Derivation of explicit models from data; Case studies and experience reports with significant modeling lessons learned; Comparative analyses of modeling languages and techniques; Scientific assessment of modeling practices
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