Name
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. |
Year | DOI | Venue |
|---|---|---|
2014 | 10.1007/978-3-319-09195-2_15 | ECMFA |
Field | DocType | Volume |
Graph,Data mining,Graph database,Abstraction,Enterprise architecture,Programming language,Relational database,Computer science,Exploit,Distributed computing,Scalability | Conference | 8569 |
ISSN | Citations | PageRank |
0302-9743 | 34 | 1.37 |
References | Authors | |
7 | 5 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Amine Benelallam | 1 | 74 | 7.02 |
| Abel Gómez | 2 | 51 | 3.13 |
| Gerson Sunyé | 3 | 34 | 1.37 |
| Massimo Tisi | 4 | 392 | 28.38 |
| David Launay | 5 | 34 | 1.37 |