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Scalable modeling technologies in the wild: an experience report on wind turbines control applications development

Abstract

Scalability in modeling has many facets, including the ability to build larger models and domain-specific languages (DSLs) efficiently. With the aim of tackling some of the most prominent scalability challenges in model-based engineering (MBE), the MONDO EU project developed the theoretical foundations and open-source implementation of a platform for scalable modeling and model management. The platform includes facilities for building large graphical DSLs, for splitting large models into sets of smaller interrelated fragments, to index large collections of models to speed-up their querying, and to enable the collaborative construction and refinement of complex models, among other features. This paper reports on the tools provided by MONDO that Ikerlan, a medium-sized technology center which in the last decade has embraced the MBE paradigm, adopted in order to improve their processes. This experience produced as a result a set of model editors and related technologies that fostered collaboration and scalability in the development of wind turbine control applications. In order to evaluate the benefits obtained, an on-site evaluation of the tools was performed. This evaluation shows that scalable MBE technologies give new growth opportunities to small- and medium-sized organizations.

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Notes

  1. 1.

    http://www.mondo-project.org/.

  2. 2.

    http://www.mondo-project.org/technologies.

  3. 3.

    We differentiate between MainSubsystems and Subsystems because, in our case study, the code generated for the former is inherently different from the code generated for the latter.

  4. 4.

    Sources available at https://github.com/mondo-project/.

  5. 5.

    https://github.com/FTSRG/mondo-collab-framework.

  6. 6.

    https://github.com/mondo-project/mondo-hawk.

  7. 7.

    https://github.com/jdelara/DSL-tao.

  8. 8.

    https://github.com/antoniogarmendia/EMF-Splitter.

  9. 9.

    https://github.com/mondo-project/mondo-demo-wt.

  10. 10.

    For more information and screenshots about the Online Concurrent WTCS Modeling Solution (Sect. 5.1) and the Offline Collaborative WTCS Modeling Solution (Sect. 5.2), refer to the public MONDO deliverable [97].

  11. 11.

    https://github.com/dstrueber/splittr

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Acknowledgements

This work has been supported by the MONDO (EU FP7-ICT-611125) project. The work of Gábor Bergmann was also partially supported by the János Bolyai Research Scholarship of the Hungarian Academy of Sciences, the ÚNKP-18-4 New National Excellence Program of The Ministry of Human Capacities, and the ÚNKP-19-4 New National Excellence Program of the Ministry For Innovation and Technology.

figurel

Antonio and Juan’s work was also partially supported by the Spanish Ministry of Science (RTI2018-095255-B-I00) and the Madrid Region (S2018/TCS-4314). Finally, authors would like to thank Ana Pescador, István Ráth, Dániel Varró and all the MONDO researchers for their contributions to the project.

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Correspondence to Abel Gómez.

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Communicated by Professor ’ A. Pierantonio, A. Anjorin, S. Trujillo, and H. Espinoza.

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Gómez, A., Mendialdua, X., Barmpis, K. et al. Scalable modeling technologies in the wild: an experience report on wind turbines control applications development. Softw Syst Model (2020). https://doi.org/10.1007/s10270-020-00776-8

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Keywords

  • Model-based engineering (MBE)
  • Scalability
  • Domain-specific graphical modeling languages
  • Collaborative modeling
  • Model indexing
  • Experience report