by Gwendal Jouneaux | Aug 6, 2025 | article, DSLs, quality, requirements
We propose a new Domain-Specific Language to precisely define the sustainability aspects of an ML model (including the energy costs for its different tasks) that can be exported as an extended Model Card
by Jordi Cabot | Jan 28, 2024 | AI, article, opinion, quality
In the last decade, we have witnessed an explosion of research on new architectures, training methods, fine-tuning strategies, etc. for machine learning (ML). But we are now entering a new phase where all these new approaches are becoming a commodity. Platforms like...
by Carlos Diego Nascimento Damasceno | Jul 5, 2022 | article, Model-driven Engineering, quality, tools
In Model-Driven Engineering, openly providing research artifacts has become vital, e.g. for the broader adoption of AI techniques. We present you a set of guidelines designed as a toolkit to support researchers in creating, sharing, and maintaining artifacts in MDE research.
by Jordi Cabot | Dec 13, 2021 | tools, code generation, Model-driven Engineering, quality
Our review of Dezyne, a great tool to quickly model, verify and generate component-based software.
by Robert Clarisó | Nov 18, 2021 | article, quality
Clustering of model instances by using graph kernels. Make sure you test your models with the most diverse set of examples!
by Robert Clarisó | Nov 8, 2021 | article, quality
We propose an iterative modeling approach where designers can dynamically customize the level of formality required in each iteration in a visual and intuitive way
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