MONDO: Scalable Modelling and Model Management on the Cloud

Dimitrios S Kolovos (1) , Antonio Garcia-Dominguez (1) , Richard F Paige (1) , Esther S Guerra (2) , Jesús Sánchez Cuadrado (2) , Juan S de Lara (2) , István Ráth (3) , Dániel Varró (3) , Gerson Sunyé (4) , Massimo Tisi (4)

1 Department of Computer Science [York]
2 UAM - Universidad Autónoma de Madrid
3 BME - Budapest University of Technology and Economics [Budapest]
4 AtlanModels - Modeling Technologies for Software Production, Operation, and Evolution

Achieving scalability in modelling and MDE involves being able to construct large models and domain-specific languages in a systematic manner, enabling teams of modellers to construct and refine 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 efficient 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.

Domains: Software Engineering [cs.SE]; Programming Languages [cs.PL]

Dimitrios S Kolovos, Antonio Garcia-Dominguez, Richard F Paige, Esther S Guerra, Jesús Sánchez Cuadrado, et al.. MONDO: Scalable Modelling and Model Management on the Cloud. STAF Project Showcase 2016, 2016, Vienna, Austria. ⟨hal-01394407⟩