All models are wrong, but some are useful.
We are a (small) research team focused on Software Engineering topics. In particular, we seek to improve software development by using models (as in UML models, but also ML models) and Domain-Specific Languages (DSLs).
We have three main themes.
Machine learning applied to modelling
Our work revolves around these topics. We like to devise practical solutions to problems related to software engineering, usually by building tools. If you are interested in these topics and want to collaborate or work with us, do not hesitate to contact us.
|Oct 23, 2021||Published our first blog post, about ModelSet|
|Oct 15, 2021||We’ve received an ACM Distinguished Paper Award at MODELS’21 for our work Towards the Characterization of Realistic Model Generators using Graph Neural Networks|
|Oct 1, 2021||This site is live!|
MoDELSMAR: A structure-based search engine for modelsIn Proceedings of the 23rd ACM/IEEE International Conference on Model Driven Engineering Languages and Systems 2020
MoDELSTowards the Characterization of Realistic Model Generators using Graph Neural NetworksIn Proceedings of the 24th ACM/IEEE International Conference on Model Driven Engineering Languages and Systems 2021
TSEEfficient execution of ATL model transformations using static analysis and parallelismIEEE Transactions on Software Engineering 2020