Validate efficiently large models using OCL rewriting techniques and optimized database query generation using the Mogwaï tool.
TemporalEMF adds native temporal support for models. Models are automatically treated as temporal models and can be subjected to temporal queries to retrieve the model contents at different points in time. Behind the scenes, the history of a model is transparently stored in a NoSQL database.
Most NoSQL database systems do not require the definition of schemas but this does not mean such schema does not (implicitly) exist. We have implemented a model-driven reverse engineering approach to infer such NoSQL implicit schemas
Summary of our contributions towards a scalable query and transformation modeling framework able to handle very large models
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