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.
|Number of pages||10|
|Journal||CEUR workshop proceedings|
|Publication status||Published - 3 Sep 2016|
|Event||2016 Joint Doctoral Symposium and Projects Showcase Held as Part of STAF, STAF16-DS-PS 2016 - Vienna, Austria|
Duration: 4 Jul 2016 → 7 Jul 2016