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
Overcome the limitations of executing model transformations on large models by distributing them on top of a mapreduce infrastructure. We’ve done it for ATL. Read the full details on this paper accepted in the Journal of Systems and Software
OData is a protocol to facilitate the publication and consumption of queryable and interoperable data-driven services. OData is based on the use of RESTful APIs derived from a data model. We present a model-driven approach to automate the generation of OData services from data sources
Read about a new project between CEA List and Universitat Oberta de Catalunya on the integration of Artificial Intelligence in software development tools.
How to partition the system into a set of domain models and decide the best language for each domain. Plus the need to choose the model platform that best fits your project.
Our special issue on Quality in Model-Driven Engineering has now been finalized and published online in the Computer Languages, Systems & Structures journal linked to the Quality Aspects in Model Driven Engineering track at QUATIC 2016
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