Doctoral SymposiumMODELS 2024
The goal of the MODELS 2024 Doctoral Symposium is to provide an international forum for students registered for a research degree to interact with and engage with academic mentors working in model-based engineering. The symposium supports contributors directly, led by a champion from the Programme Committee, and provides independent and constructive feedback about contributors’ already completed and planned research. To this end, the Symposium Programme Committee comprises experts in various fields of model-based engineering.
The Symposium will have a one-day workshop format, with presentations by the students whose papers are accepted by peer reviewers, feedback from the mentors (who are among the peer reviewers), and plenty of time for discussion. The workshop is open to all research students, mentors, presenters, and all other conference participants, except that we request that the research supervisors not attend their own supervisee’s presentations.
Submissions (exclusively authored by a student) can only be accepted from students registered on a research degree who will not be in a position to submit their final dissertation/thesis at the time of the Symposium. Contributing students must have identified the general area of research and the eventual dissertation/thesis but do not need to have research outputs/results. These conditions are set so students can take advantage of feedback and discussions in their research and thesis.
We are pleased to announce that this year’s keynote presentation will be given by Pr. Silvia Abrahão, Full Professor of Software Engineering in the Department of Computer Science at Universitat Politecnica de Valencia
Tue 24 SepDisplayed time zone: Amsterdam, Berlin, Bern, Rome, Stockholm, Vienna change
09:00 - 10:30 | |||
09:00 10mTalk | Opening & Introduction Doctoral Symposium | ||
09:10 50mKeynote | Secrets to a successful PhD in MDE: from technical aspects to wellbeing and resilience Doctoral Symposium File Attached | ||
10:00 30mTalk | Contract-based Validation of Conceptual Design Bugs for Engineering Complex Machine Learning Software Doctoral Symposium |
10:30 - 11:00 | |||
10:30 30mCoffee break | Break Catering |
11:00 - 12:30 | |||
11:00 30mTalk | Estimation, Impact and Visualization of Schema Evolution in Graph Databases Doctoral Symposium | ||
11:30 30mTalk | Probabilistic Graph Queries for Design Space Exploration Under Uncertainty Doctoral Symposium | ||
12:00 30mTalk | Automated Synchronization of Enterprise Architecture Models with Deployment Models Doctoral Symposium A: Marcel Weller University of Stuttgart, M: Dominique Blouin LTCI Lab, Telecom Paris, Institute Politechnqie de Paris |
12:30 - 14:00 | |||
12:30 90mLunch | Lunch Catering |
14:00 - 15:30 | |||
14:00 30mTalk | Automating Digital Twins Development in Industry 4.0 Doctoral Symposium | ||
14:30 30mTalk | Ensuring the consistency of information between two versions of a mechanical drawing Doctoral Symposium A: Alexandre Monnier Weil Kaizen Solutions Montbonnot Saint Martin, France/Univ. Grenoble Alpes, CNRS, Grenoble INP*, LIG, 38000 Grenoble, France, M: Davide Di Ruscio University of L'Aquila | ||
15:00 30mTalk | Collaborative Platform for Heterogeneous Modeling Doctoral Symposium A: Théo Giraudet Obeo, Université de Rennes, Inria, CNRS, IRISA, M: Antonio Bucchiarone Fondazione Bruno Kessler, Trento, Italy |
15:30 - 16:00 | |||
15:30 30mCoffee break | Break Catering |
16:00 - 17:30 | |||
16:00 30mTalk | Automated Generation and Configuration of Domain-Specific Recommender Systems Doctoral Symposium A: Rickson Simioni Pereira Gran Sasso Science Institute, M: Daniel Varro Linköping University / McGill University | ||
16:30 30mTalk | AI Assisted Domain Modeling Explainability and Traceability Doctoral Symposium | ||
17:00 30mTalk | Closing & "Message from the Past" Doctoral Symposium D: Leen Lambers BTU Cottbus Senftenberg, D: Sébastien Mosser McMaster University, P: Sahar Kokaly General Motors, P: Simon Van Mierlo University of Antwerp |
18:30 - 20:00 | |||
Accepted Papers
Title | |
---|---|
AI Assisted Domain Modeling Explainability and Traceability Doctoral Symposium | |
Automated Generation and Configuration of Domain-Specific Recommender Systems Doctoral Symposium | |
Automated Synchronization of Enterprise Architecture Models with Deployment Models Doctoral Symposium | |
Automating Digital Twins Development in Industry 4.0 Doctoral Symposium | |
Collaborative Platform for Heterogeneous Modeling Doctoral Symposium | |
Contract-based Validation of Conceptual Design Bugs for Engineering Complex Machine Learning Software Doctoral Symposium | |
Ensuring the consistency of information between two versions of a mechanical drawing Doctoral Symposium | |
Estimation, Impact and Visualization of Schema Evolution in Graph Databases Doctoral Symposium | |
Probabilistic Graph Queries for Design Space Exploration Under Uncertainty Doctoral Symposium |
Submission Guidelines
Submissions must use the following structure:
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Problem: Briefly introduce the problem or research questions that the research intends to address, stating the target audience. Briefly explain why the problem is important and needs to be addressed. Be clear why it is feasible to address the problem/research questions in the relevant research degree.
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Expected contributions: Give a summary list of the expected contributions the research will make, to theory and practice, noting potential identified non-academic contributions if relevant.
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Related work: Present a critical review of a relevant selection of related work, which shows how the research will differ from or extend the published state of the art.
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Proposed approach: Summarise the approach planned / in progress to address the problem (1.). Justify the approach, and show how it draws upon published works, existing methods and tools.
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Be clear about any risks or ethical issues arising from the research area of the conduct of the research and how these have been / will be addressed. If there are no risks or ethical issues, state this clearly.
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Plan for evaluation: Outline the evaluation plan, which will demonstrate that the problem has been addressed or research questions answered, and will demonstrate how the research goes beyond the existing state of the art (typical approaches to evaluation might include some or all of prototyping, industry case studies, benchmarking, user studies, experiments, etc.).
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Current status: Summarise the work completed to date, including any results obtained, and present the timeline for completion of the research and write-up.
Submissions must not exceed five (5) pages plus two (2) pages for references. Submissions must adhere to the ACM formatting instructions, available for both LaTeX and Word users. LaTeX users must use the provided acmart.cls and ACM-Reference-Format.bst without modification, enable the conference format in the preamble of the document (i.e., \documentclass[sigconf,review]{acmart}), and use the ACM reference format for the bibliography (i.e., \bibliographystyle{ACM-Reference-Format}). The review option adds line numbers, thereby allowing referees to refer to specific lines in their comments.
By submitting to the MODELS Foundations Track, authors acknowledge that they are aware of and agree to be bound by the ACM Policy and Procedures on Plagiarism. By submitting your article to an ACM Publication, you are hereby acknowledging that you and your co-authors are subject to all ACM Publications Policies, including ACM’s new Publications Policy on Research Involving Human Participants and Subjects. Please ensure that you and your co-authors obtain an ORCID ID, so you can complete the publishing process for your accepted paper.
All accepted submissions will be part of the MODELS 2024 Companion proceedings and published in the ACM Digital Library.
All papers must be submitted electronically in PDF format via Easychair .
Papers will be reviewed by at least three members of the program committee. ACM will publish all accepted submissions as part of the MODELS Companion. Papers are accepted conditional on the author registering for the symposium at the MODELS 2024 conference by the early registration deadline and presenting the paper at the symposium.