Survey and classification of model transformation tools
| Autor: | Dániel Varró, Juergen Dingel, James R. Cordy, Nafiseh Kahani, Mojtaba Bagherzadeh |
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| Rok vydání: | 2018 |
| Předmět: |
Information retrieval
Model driven development Computer science Model transformation 020207 software engineering 02 engineering and technology Metamodeling Transformation (function) Modeling and Simulation 0202 electrical engineering electronic engineering information engineering computer Software computer.programming_language Merge (linguistics) |
| Zdroj: | Software & Systems Modeling. 18:2361-2397 |
| ISSN: | 1619-1374 1619-1366 |
| DOI: | 10.1007/s10270-018-0665-6 |
| Popis: | Model transformation lies at the very core of model-driven engineering, and a large number of model transformation languages and tools have been proposed over the last few years. These tools can be used to develop, transform, merge, exchange, compare, and verify models and metamodels. In this paper, we present a comprehensive catalog of existing metamodel-based transformation tools and compare them using a qualitative framework. We begin by organizing the 60 tools we identified into a general classification based on the transformation approach used. We then compare these tools using a number of particular facets, where each facet belongs to one of six different categories and may contain several attributes. The results of the study are discussed in detail and made publicly available in a companion website with a capability to search for tools using the specified facets as search criteria. Our study provides a thorough picture of the state-of-the-art in model transformation techniques and tools. Our results are potentially beneficial to many stakeholders in the modeling community, including practitioners, researchers, and transformation tool developers. |
| Databáze: | OpenAIRE |
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