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Automated variability injection for graphical modelling languages

Author
Garmendia Jorge, Antoniountranslated; Wimmer, Manuel; Guerra Sánchez, Estheruntranslated; Gómez Martínez, María Elenauntranslated; De Lara, Juan
Entity
UAM. Departamento de Ingeniería Informática
Publisher
Association for Computing Machinery
Date
2020-11-16
Citation
10.1145/3425898.3426957
Garmendía, A; Wimmer, M.; Guerra, E.; Gómez-Martínez, M.E. (2000). Automated variability injection for graphical modelling languages. Proceedings of the 19th ACM SIGPLAN International Conference on Generative Programming: Concepts and Experiences (GPCE), pp. 15–21
 
 
 
ISBN
978-1-4503-8174-1
DOI
10.1145/3425898.3426957
Funded by
Work funded by the R&D programme of Madrid (S2018/TCS4314), the Spanish Ministry of Science (RTI2018-095255-BI00), and the Austrian Science Fund (P 30525-N31)
Project
Comunidad de Madrid. S2018/TCS4314; Gobierno de España. RTI2018-095255-BI00
Editor's Version
https://doi.org/10.1145/3425898.3426957
Subjects
EMF; Graphical Modelling Language; Meta-Modelling; Model-Driven Engineering; Product Lines; Informática
URI
http://hdl.handle.net/10486/706010
Note
© ACM 2020. This is the author's version of the work. It is posted here for your personal use. Not for redistribution. The definitive Version of Record was published in International Conference on Generative Programming: Concepts and Experiences, https://doi.org/10.1145/3425898.3426957
Rights
© Association for Computering Machinery

Abstract

Model-based development approaches, such as Model-Driven Engineering (MDE), heavily rely on the use of modelling languages to achieve and automate software development tasks. To enable the definition of model variants (e.g., supporting the compact description of system families), one solution is to combine MDE with Software Product Lines. However, this is technically costly as it requires adapting many MDE artefacts associated to the modelling language -- especially the meta-models and graphical environments. To alleviate this situation, we propose a method for the automated injection of variability into graphical modelling languages. Given the meta-model and graphical environment of a particular language, our approach permits configuring the allowed model variability, and the graphical environment is automatically adapted to enable creating models with variability. Our solution is implemented atop the Eclipse Modeling Framework and Sirius, and synthesizes adapted graphical editors integrated with FeatureIDE
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Google™ Scholar:Garmendia Jorge, Antonio - Wimmer, Manuel - Guerra Sánchez, Esther - Gómez Martínez, María Elena - De Lara, Juan

This item appears in the following Collection(s)

  • Producción científica en acceso abierto de la UAM [17202]

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