Publications

We have made several research publications to present our approach and address specific problems (both conceptual and technical) we faced during the development. You can find here the list of NeoEMF-related publications and the presented slides when they are available.

• Neo4EMF, a Scalable Persistence Layer for EMF Models, A. Benelallam, A. Gómez Llana, G. Sunyé, M. Tisi, and D. Launay. In ECMFA 2014, York, United Kingdom, 2014 (article)

• Improving Memory Efficiency for Processing Large-Scale Models, G. Daniel, G. Sunyé, A. Benelallam, and M. Tisi. In BigMDE 2014, York, United Kingdom, 2014 (article)

• Map-Based Transparent Persistence for Very Large Models, A. Gómez Llana, M. Tisi, G. Sunyé, and J. Cabot. In FASE 2015, London, United Kingdom, 2015 (article, slides)

• Mogwaï: a Framework to Handle Complex Queries on Large Models, G. Daniel, G. Sunyé, and J. Cabot. In RCIS 2016, Grenoble, France, 2016 (article, slides, blog post)

• PrefetchML: a Framework for Prefetching and Caching Models, G. Daniel, G. Sunyé, and J. Cabot. In MoDELS 2016, Saint-Malo, France, 2016 (article, slides, blog post)

• NeoEMF: a Multi-Database Model Persistence Framework for Very Large Models, G. Daniel, G. Sunyé, A. Benelallam, M. Tisi, Y. Vernageau, A. Gómez Llana, and J. Cabot. In MoDELS 2016 (Tool Demo Track), Saint-Malo, France, 2016 (article, slides, blog post)

• NeoEMF: a Multi-Database Model Persistence Framework for Very Large Models, G. Daniel, G. Sunyé, A. Benelallam, M. Tisi, Y. Vernageau, A. Gómez Llana, and J. Cabot. In SCP - Special Issue on MoDELS'16, 2017 (article)