Publications

@conference{Benelallam:ECMFA:2014,

title = {Neo4EMF, A Scalable Persistence Layer for EMF Models},

author = {Amine Benelallam and Abel G\'{o}mez and Gerson Suny\'{e} and Massimo Tisi and David Launay},

editor = {Jordi Cabot and Julia Rubin},

doi = {10.1007/978-3-319-09195-2_15},

isbn = {978-3-319-09195-2},

year  = {2014},

date = {2014-01-01},

booktitle = {Modelling Foundations and Applications: 10th European Conference, ECMFA 2014, Held as Part of STAF 2014, York, UK, July 21-25, 2014. Proceedings},

volume = {8569},

pages = {230--241},

publisher = {Springer International Publishing},

abstract = {Several industrial contexts require software engineering methods and tools able to handle large-size artifacts. The central idea of abstraction makes model-driven engineering (MDE) a promising approach in such contexts, but current tools do not scale to very large models (VLMs): already the task of storing and accessing VLMs from a persisting support is currently inefficient. In this paper we propose a scalable persistence layer for the de-facto standard MDE framework EMF. The layer exploits the efficiency of graph databases in storing and accessing graph structures, as EMF models are. A preliminary experimentation shows that typical queries in reverse-engineering EMF models have good performance on such persistence layer, compared to file-based backends.},

note = {York, UK},

keywords = {Graph Databases, Model Persistence, NeoEMF, Very Large Models (VLMs)},

pubstate = {published},

tppubtype = {conference}

}