Lola Burgueño
UOC, Spain
@LolaBurguenoTwitter
MDE Intelligence
Co-located with MODELS. October 23-28, 2022. Montreal, Canada.
Contact
If you have questions, contact us by email at: mdeintelligence2022@easychair.org
Call for Papers
Model-driven engineering (MDE) and artificial intelligence (AI) are two separate fields in computer science, which can clearly benefit from cross-pollination and collaboration. There are at least two ways in which such integration—which we call MDE Intelligence—can manifest:
- Artificial Intelligence for MDE. MDE can benefit from integrating AI concepts and ideas to increase its power: flexibility, user experience, quality, etc. For example, using model transformations through search-based approaches, or by increasing the ability to abstract from partially formed, manual sketches into fully-shaped and formally specified meta-models and editors.
- MDE for Artificial Intelligence. AI is software, and as such, it can benefit from integrating concepts and ideas from MDE that have been proven to improve software development. For example, using domain-specific languages allows domain experts to directly express and manipulate their problems while providing an auditable conversion pipeline. Together this can improve trust in and safety of AI technologies. Similarly, MDE technologies can contribute to the goal of fair and explainable AI.
TOPICS
Topics of interest for the workshop include, but are not limited to:
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AI for MDE
- Application of (meta-heuristic) search to modelling problems;
- Machine learning of models, meta-models, concrete syntax, model transformations, etc.;
- AI planning applied to modelling, meta-modelling, and model management;
- Modeling assistants such as bots, conversational agents and virtual assistants/recommenders supporting diverse modeling tasks;
- Model inferencers and automatic model generators from datasets;
- Self-adapting code generators;
- Semantic reasoning;
- AI-supported model-based digital twins;
- AI-based user interface adaptation for modeling tools;
- AI with human-in-the-loop for modeling;
- Semantic reasoning, knowledge graphs, and domain-specific ontologies;
- Probabilistic models;
- AI techniques for data, process and model mining and categorisation;
- Natural language processing applied to modeling;
- Data quality and privacy issues in AI for MDE.
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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 of AI components.
General
- Tools for combining AI and MDE;
- Experience reports, case studies, and empirical studies;
- Challenges to be addressed by combining AI and MDE techniques.
SUBMISSIONS
Papers will follow the same formatting guidelines as the main tracks of the conference (please check them here). We ask for two type of contributions:- 1) Research papers: 8 pages,
- 2) Vision papers, experience papers or demos: 5 pages.
All submissions will follow a single-blind review process where each paper will be reviewed by at least 3 members of the program committee. They will value the relevance and interest for discussions that will take place at the workshop. Accepted papers will be published in the ACM MODELS Companion Proceedings.
Papers submitted to MDE Intelligence 2022 must not be under review or submitted for review elsewhere whilst under consideration for MDE intelligence 2022. Contravention of this concurrent submission policy (as stated explicity by the ACM on https://www.acm.org/publications/policies/simultaneous-submissions) will be deemed as a serious breach of scientific ethics, and appropriate action will be taken in all such cases.
IMPORTANT DATES
- Paper submission: July 20, 2022
- Notification: August 19, 2022
- Camera-ready: September 9, 2022
- Workshop: October 23-28, 2022
BEST THEME PAPER AWARD
This year's MODELS conference will feature a Best Theme Paper Award spanning across all tracks. The special theme of this year’s conference is "Modeling for social good" #MDE4SG. MDE Intelligence is part of this initiative and will have the opportunity to nominate one paper that will be selected by the program committee. We encourage submissions that are relevant to this special theme.CALL FOR LIGHTNING TALKS
The 4th edition of the MDE Intelligence workshop will be co-located with MODELS 2022 and aims to discuss current work and challenges at the intersection of MDE and AI.
During the workshop, there will be a session of lightning talks around the topics that fall under the scope of the workshop.
We believe that lightning talks are a great opportunity for presenters to promote their work, to receive timely and helpful feedback and to find new collaborations. At the same, these talks will be beneficial for the workshop participants as they may broaden their knowledge and they will be able to actively participate and engage in the discussion around the presented topics.
If you are interested in presenting a lightning talk, please follow the instructions below.
Presenters will have 1-2 minutes to communicate their ideas and they can choose to use up to one slide.
We encourage the submission of proposals around the following topics:
- Already published works that are relevant for the workshop audience;
- Discussion of personal visions and ideas;
- Provocative statements about the past, present or future of the field;
- Unsolved challenges in academia, industry, open source communities, etc.
- Welcome
- Dynamic Data Management for Continuous Retraining
by Nils Baumann, Evgeny Kusmenko, Jonas Ritz, Bernhard Rumpe and Moritz Benedikt Weber - MDE for Machine Learning-Enabled Software Systems: A Case Study and Comparison of MontiAnna & ML-Quadrat
by Jörg Christian Kirchhof, Evgeny Kusmenko, Jonas Ritz, Bernhard Rumpe, Armin Moin, Atta Badii, Stephan Günnemann and Moharram Challenger - Feature-Oriented Modularization of Deep Learning APIs
by Yechuan Shi, Jin Guo and Jörg Kienzle - Augmenting Model-Based Systems Engineering with Knowledge
by Luis Palacios, Florian Noyrit and Chokri Mraidha - Towards a Configurable Crossover Operator for Model-Driven Optimization
by Stefan John, Jens Kosiol and Gabriele Taentzer - Towards Automatically Extracting UML Class Diagrams from Natural Language Specifications
by Song Yang and Houari Sahraoui - Industrial Generic Requirements for Supporting AI-Enhanced Model-Driven Engineering
by Johan Bergelin and Per Erik Strandberg - Lightning Talks (tbd)
- Discussion
- Wrap-Up
- Speaker: Houari Sahraoui
- Title: Learning MDE artifacts: from genetic programming to deep learning.
- Abstract:
Over the past decades, the software engineering research community has made significant advances in automating software development and maintenance tasks. This was achieved thanks to the accumulation of knowledge produced by many clusters of researchers working on general-purpose artifacts such as automatic generation of test data, refactoring, program repair or feature location. However, automating domain-specific tasks did not benefit from the same critical masses of researchers. This is particularly the case of manipulating models described with domain-specific languages. In this presentation, we discuss the use of genetic programming to transform data or examples of a specific domain into knowledge to automate modeling tasks of that domain. We also briefly report on recent advances in using deep-learning models to support modeling activities.
- Biography:
Houari Sahraoui is a professor at the software engineering lab GEODES of the department of computer science and operations research, Université de Montréal. He holds a Ph.D. in Computer Science from Pierre & Marie Curie University - LIP6 (1995), with a specialization in Artificial Intelligence (AI). His research interests include automated software engineering (SE) and the application of AI techniques to SE. He has published around 200 papers in conferences, workshops, books, and journals. He has served as a program committee member in several IEEE and ACM conferences, as a member of the editorial boards of four journals, and as an organization member of many conferences and workshops. He was the general chair and program chair of many conferences such as IEEE/ACM International Conference on Automated Software Engineering (ASE), ACM/IEEE International Conference on Model Driven Engineering Languages and Systems (MODELS), and IEEE Working Conference on Software Visualization (VISSOFT). He and his students have authored several award-winning papers.
PROPOSAL SUBMISSION
Proposals must be submitted using the submission form. The deadline for submitting proposals is October 15, 2022.
PROGRAM
Program schedule (all times relate to local time in Montréal)
Monday, October 24th
| 8:30 - 10:00 | Session I: MDE for AI |
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| 10:00-10:30 | Coffee break |
| 10:30 - 12:00 | Session II: Keynote by Prof. Houari Sahraoui |
| 12:00-13:30 | Lunch break |
| 13:30 - 15:00 | Session III: AI for MDE |
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| 15:00-15:30 | Coffee break |
| 15:30 - 17:00 | Session IV: Lightning Talks and Discussion |
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Keynote
