A research roadmap towards achieving scalability in model driven engineering

Abstract : As Model-Driven Engineering (MDE) is increasingly applied to larger and more complex systems, the current generation of modelling and model management technologies are being pushed to their limits in terms of capacity and eciency. Additional research and development is imperative in order to enable MDE to remain relevant with industrial practice and to continue delivering its widely recognised productivity , quality, and maintainability benefits. Achieving scalabil-ity 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 a collaborative manner, 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 ecient storage, indexing and retrieval of large models. This paper attempts to provide a research roadmap for these aspects of scalability in MDE and outline directions for work in this emerging research area.
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Communication dans un congrès
Proceedings of the Workshop on Scalability in Model Driven Engineering, Jun 2013, Budapest, Hungary. ACM, pp.1 - 10, 2013, 〈10.1145/2487766.2487768〉
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Dimitrios Kolovos, Louis Rose, Nicholas Matragkas, Richard Paige, Esther Guerra, et al.. A research roadmap towards achieving scalability in model driven engineering. Proceedings of the Workshop on Scalability in Model Driven Engineering, Jun 2013, Budapest, Hungary. ACM, pp.1 - 10, 2013, 〈10.1145/2487766.2487768〉. 〈hal-00869267〉

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