Please use this identifier to cite or link to this item: http://hdl.handle.net/10609/78747
Title: On the opportunities of scalable modeling technologies: An experience report on wind turbines control applications development
Author: Gómez Llana, Abel
Mendialdua, Xabier
Bergmann, Gábor
Cabot, Jordi  
Debreceni, Csaba
Garmendia, Antonio
Kolovos, Dimitrios S.
Lara Jaramillo, Juan de
Trujillo, Salvador
Others: Universitat Oberta de Catalunya. Internet Interdisciplinary Institute (IN3)
IK4-IKERLAN
Budapest University of Technology and Economics
Universidad Autónoma de Madrid
University of York
Citation: Gómez Llana, A., Mendialdua, X., Bergmann, G., Cabot, J., Debreceni, C., Garmendia, A., Kolovos, D., de Lara Jaramillo, J. & Trujillo, S. (2017). On the Opportunities of Scalable Modeling Technologies: An Experience Report on Wind Turbines Control Applications Development. Lecture Notes in Computer Science, 10376, 300-315. doi: 10.1007/978-3-319-61482-3_18
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 DSLs, for splitting large models into sets of smaller interrelated fragments, and enables modelers to construct and refine complex models collaboratively, among other features. This paper reports on the improvements provided by the MONDO technologies in a software development division of IK4-IKERLAN, a Medium-sized Enterprise which in recent years has embraced the MBE paradigm. The evaluation, conducted in the Wind Turbine Control Applications development domain, shows that scalable MBE technologies give new growth opportunities to Small and Medium-sized Enterprises.
Keywords: model-based engineering (MBE)
scalability
experience report
DOI: 10.1007/978-3-319-61482-3_18
Document type: info:eu-repo/semantics/conferenceObject
Version: info:eu-repo/semantics/acceptedVersion
Issue Date: 20-Jun-2017
Publication license: http://creativecommons.org/licenses/by-nc-nd/3.0/es/  
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