I’m honored to serve on the Program Committee of the 5th Workshop on Artificial Intelligence and Model-driven Engineering (MDE Intelligence), co-located with the ACM/IEEE 26th International Conference on Model-Driven Engineering Languages and Systems (MODELS), 2023.
Artificial Intelligence (AI) has become part of everyone’s life. It is used by companies to exploit the information they collect to improve the products and/or services they offer and, wanted or unwanted, it is present in almost every device around us. Lately, AI is also impacting all aspects of the system and software development lifecycle, from their upfront specification to their design, testing, deployment and maintenance, with the main goal of helping engineers produce systems and software faster and with better quality while being able to handle ever more complex systems and software. There is no doubt that MDE has been a means to tame until now part of this complexity. However, its adoption by industry still relies on their capacity to manage the underlying methodological changes including among other things the adoption of new tools. To go one step further, we believe there is a clear need for AI-empowered MDE, which will push the limits of “classic” MDE and provide the right techniques to develop the next generation of highly complex model-based system and software systems engineers will have to design tomorrow.
MDE Intelligence provides a forum to discuss, study and explore the opportunities and challenges raised by the integration of AI and MDE.
COORDINATES
1-3 October, 2023
Västerås, Sweden
Co-located with this year’s MODELS Conference.
TOPICS OF INTEREST
AI for MDE
-Application of (meta-heuristic) search and machine learning to modelling problems;
-Machine learning of (meta-)models, concrete syntax, model transformations, etc.;
-AI planning applied to (meta-)modelling, and model management;
-AI-supported modelling (e.g., bots, recommenders, UI adaptation, etc.)
-Model inferencers and automatic, dataset-based model generators;
-Self-adapting code generators;
-Semantic reasoning, knowledge graphs or domain-specific ontologies;
-AI-supported model-based digital twins;
-Probabilistic, descriptive or predictive models;
-AI techniques for data, process and model mining and categorisation;
-Natural language processing applied to modelling, including Large Language Models (LLM) and Generative AI;
-Data quality and privacy issues in AI for MDE;
-Reinforcement learning to optimize modelling tasks.
MDE for AI
-Domain-specific modelling approaches for AI planning, machine learning, agent-based modelling, etc.;
-Model-driven processes for AI system development;
-MDE techniques for explainable and fair AI;
-Using models for knowledge representation;
-Code-generation for AI libraries and platforms;
-Architectural languages for AI-enhanced systems;
-MDE for federated learning;
-Model-based testing/analysis of AI components.
General
-AI in teaching MDE;
-Tools, frameworks, modeling standards;
-Experience reports, case studies, and empirical studies;
-Challenges.
IMPORTANT DATES
-July 17, 2023 – Paper submission deadline
-August 15, 2023 – Notification of acceptance
-August 22, 2023 – Final papers submission deadline
-October 1‒3, 2023 – Workshop. Details TBA.