A common problem when modeling software systems is the lack of support to specify how to enforce privacy concerns in data models. In this post, we propose a profile to define and enforce privacy concerns in UML class diagrams. Models annotated with our profile can be used in model-driven methodologies to generate privacy-aware applications.
Have you ever thought how effective and practical use of open data might change our societies
How do you choose the shapes and colors for the elements of your new domain-specific language? Why not asking the crowd of future users for their opinion? This is what we've done with surprising results.
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.
Our approach to automatically generate GraphQL schemas from UML class diagrams (and IFML interaction models)
New version of our tool able to infer the shared schema among a set of schemaless JSON Documents
MetaScience is an online service to help researchers analyze their research profile (and that of the conferences where they publish), including publication trends, co-author graphs...
Who decides what feature requests / bug notifications to accept (and how? when?). OSS should clearly define their governance model. We help them on this
We have already written about our automatic web service to discover implicit schemas in JSON documents (here
We keep on working on our research work about the discovery of implicit schemas from JSON
Check also the tool we are developing to face some of the challenges you told us
Today we present the last version of Collaboro, our approach for the collaborative development of Domain-Specific
This post summarizes our work “API2MoL: Automating the building of bridges between APIs and Model-Driven Engineering” co-authored
GRA2MOL is a specially tailored DSL for extracting models from source code developed by Javier Cánovas