MONDO: Scalable Modelling and Model Management on the Cloud
EntityUAM. Departamento de Ingeniería Informática
CitationSTAF16-DS-PS 2016 STAF 2016 Doctoral Symposium and Projects Showcase: Joint Proceedings of the Doctoral Symposium and Projects Showcase Held as Part of STAF 2016 co-located with Software Technologies: Applications and Foundations (STAF 2016). Ed. Catherine Dubois, Francesco Parisi-Presicce, Dimitris Kolovos, Nicholas Matragkas. CEUR Workshop Proceedings. Volume 1675, 2016. 55-64
SubjectsApplication programs; Computer programming languages; Problem oriented languages; Scalability Domain specific languages; Indexing and retrieval; Large models; Model elements; Model management; Scalable Modelling; State of the art; Modeling languages; Informática
NoteAlso published online by CEUR Workshop Proceedings (CEUR-WS.org, ISSN 1613-0073)
Rights© 2016 The author/s
Achieving scalability in modelling and MDE involves being able to construct large models and domain-speci c languages in a systematic manner, enabling teams of modellers to construct and re ne large models in collaboration, advancing the state of the art in model querying and transformations tools so that they can cope with large models (of the scale of millions of model elements), and providing an infrastructure for e cient storage, indexing and retrieval of large models. This paper outlines how MONDO, a collaborative EC-funded project, has contributed to tackling some of these scalability-related challenges.
Google Scholar:Kolovos, Dimitrios S. - García-Domínguez, Antonio - Paige, Richard F. - Guerra Sánchez, Esther - Sánchez Cuadrado, Jesús - Lara Jaramillo, Juan de - Ráth, István - Varró, Dániel - Sunyé, Gerson - Tisi, Massimo
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