A Novel Scalable Modeling Ecosystem
Summary of our contributions towards a scalable query and transformation modeling framework able to handle very large models
Summary of our contributions towards a scalable query and transformation modeling framework able to handle very large models
Cognification is the application of knowledge to boost the performance and impact of a process. We believe cognification could be a revolution in the way software is built.
Gremlin-ATL is a scalable and efficient model-to-model transformation framework that translates ATL transformations into Gremlin, a query language supported by several NoSQL databases
NeoEMF is a multi-database model persistence solution, that is able to store models in several kind of NoSQL datastores, including graph, map and column databases
Often, modeling tools are regarded as immature and therefore not ready for industrial adoption. Read on to see if there is any truth in this.
Revisiting all aspects of model-driven engineering (application, teaching, verification , tooling, research,…) promoting a lightweight perspective to maximize MDE success and adoption
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