We propose to employ graph kernels for clustering software modeling artifacts. Among other benefits, this would improve the efficiency and usability of a variety of software modeling activities, e.g., design space exploration, testing or verification and validation.
Read about a new project between CEA List and Universitat Oberta de Catalunya on the integration of Artificial Intelligence in software development tools.
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.
Summary of my invited talk at the RuleML+RR conference where I discussed why rules are not first-class citizens in software engineering and why this has to change to keep up with the demands of big data and open data.
Revisiting all aspects of model-driven engineering (application, teaching, verification , tooling, research,…) promoting a lightweight perspective to maximize MDE success and adoption
