Article ID Journal Published Year Pages File Type
4951762 Science of Computer Programming 2017 12 Pages PDF
Abstract
The growing role of Model Driven Engineering (MDE) techniques in industry has emphasized scalability of existing model persistence solutions as a major issue. Specifically, there is a need to store, query, and transform very large models in an efficient way. Several persistence solutions based on relational and NoSQL databases have been proposed to achieve scalability. However, they often rely on a single data store, which suits a specific modeling activity, but may not be optimized for other use cases. This paper presents NeoEMF, a tool that tackles this issue by providing a multi-database model persistence framework. Tool website: http://www.neoemf.com
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Physical Sciences and Engineering Computer Science Computational Theory and Mathematics
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