MULTI 2023 – 10th International Workshop on
2 October 2023 at MODELS 2023
The MULTI workshop series is the premier venue for researchers and practitioners working on multi-level modeling and multi-level software development. Multi-level modeling represents a new object-oriented paradigm for both conceptual modelling and software engineering. In contrast to conventional two-level approaches, it supports an unbounded number of classification levels and introduces concepts and mechanisms that foster reuse, adaptability, and control. While multi-level languages and tools have reached considerable maturity, the field still offers numerous challenges.
The MULTI workshop series aims at providing a platform for exchanging ideas and promoting further development of multi-level languages, methods, and tools. A particular goal is to encourage the community to, beyond proposing new approaches, analyse different approaches to multi-level modelling and define objective ways to evaluate their respective strengths and weaknesses. Non-exclusive workshop themes in 2023 will be multi-level modeling in education and understanding industry needs.
To be held as a satellite event of the MODELS 2023 conference, MULTI 2023 will strive to accommodate remote participation and presentation, if possible. All accepted papers will be published by IEEE in a companion volume alongside the main proceedings of MODELS 2023.
MULTI 2023 solicits four kinds of papers:
Topics for regular and position papers include, but are not limited to:
Authors need to submit their papers as PDF files via EasyChair. Submissions must adhere to the IEEE formatting instructions. LaTeX users should use the 8½ x 11 2-column LaTeX Template. Overleaf users should use the IEEE Overleaf Template. Word users should use the IEEE DOCX template (letter). Challenge papers (see section Challenges) must conform to the requirements in the challenge description.
Accepted papers will be included in the MODELS 2023 companion published by the IEEE.
Multi-level modeling challenges are designed as benchmark modeling scenarios that aim to support objective comparisons between multi-level modeling approaches, allow technologies to demonstrate their abilities, stress-test technologies in order to expose potential weaknesses, and deepen the mutual understanding of approaches.
The "Warehouse" challenge references a domain featuring representations of product copies, product specifications and product specification types. A particular emphasis is on how to guarantee certain properties at the product level without fully determining them, in other words, to support flexible but constrained variability.
The submission requirements for the Warehous Challenge and the domain example to use are available from the MULTI Warehouse Challenge Description (has been updated with a new version which corrects the wording for keeping track of product sums to "...keep track of the sum of all prices of products sold..."). In particular note that submitted solutions must have the subtitle "A contribution to the MULTI Warehouse challenge".
If you would like to receive any kind of clarification regarding the challenge requirements, please contact the challenge authors who will be more than happy to answer any questions.
The Collaborative Comparison challenge aims at improving the mutual understanding of approaches within the multi-level modeling community by encouraging collaborations which are an opportunity to justify and thus clarify the need for existing differences, or, alternatively, lead towards homogenizing multi-level modeling.
Towards this end, the Collaborative Comparison Challenge specifically requires the application of two or more approaches to a prescribed domain example and mandates the discussion of commonalities and differences between the approaches in a joint paper authored by proponents of different multi-level modeling approaches.
Commonalities and differences should be discussed as they manifest themselves in the conceptualization of the domain example but also at a more general level. Respective discussion subjects which authors may choose to elaborate on include, but are not limited to, fundamental concepts such as the nature of levels, cross-level relationships, classification vs generalization, deep characterization, the treatment of attributes and operations, and the use of structural and behavioral constraints.
Discussions should seek to explore justifications for, and/or potential reconciliations of, fundamental differences rather than just documenting realization choices. An optional avenue towards contributing to the clarification of differences is the formalization of foundational concepts, thereby possibly discovering open questions and/or potential for unification.
The submission requirements for the Collaborative Comparison Challenge and the domain example to use are available from the MULTI Comparison Challenge Description . In particular note that submitted solutions must have the subtitle "A contribution to the MULTI Collaborative Comparison challenge".
Solutions to the MULTI Process Challenge  are still welcome. Note that submitted solutions must have the subtitle "A contribution to the MULTI Process challenge".
G. Mezei, T. Kühne, V. Carvalho and B. Neumayr, "The MULTI Collaborative Comparison Challenge," 2021 ACM/IEEE International Conference on Model Driven Engineering Languages and Systems Companion (MODELS-C), Fukuoka, Japan, 2021, pp. 495-496, doi: 10.1109/MODELS-C53483.2021.00077.
|||J. P. A. Almeida, A. Rutle, M. Wimmer and T. Kühne, "The MULTI Process Challenge," 2019 ACM/IEEE 22nd International Conference on Model Driven Engineering Languages and Systems Companion (MODELS-C), Munich, Germany, 2019, pp. 164-167, doi: 10.1109/MODELS-C.2019.00027.|
University of Skövde
Welcome to the program of MULTI 2023! You find a detailed schedule incl. room numbers at the MODELS 2023 site. The times for the paper presentations include around 10 minutes for the discussion.
|An Ontological View on Types|
|10:30||Clabject Typing in MLM – The Double Life of a Clabject|
|Mira Balaban, Michael Kifer, and Azzam Maraee|
|10:55||Field Types for Deep Characterization in Multi-Level Modeling|
|Thomas Kühne, João Paulo A. Almeida, Colin Atkinson, Manfred Jeusfeld and Gergely Mezei|
|13:30||Modeling in LML with DOCL –|
|A contribution to the MULTI Warehouse challenge|
|Arne Lange and Colin Atkinson|
|13:55||Modeling Facets of a Warehouse with the FMMLx –|
|A contribution to the MULTI Warehouse challenge|
|Ulrich Frank, Pierre Maier and Daniel Töpel|
|14:20||Comparing LML and FMMLx –|
|A contribution to the MULTI Collaborative Comparison challenge|
|Arne Lange, Ulrich Frank, Colin Atkinson and Daniel Töpel|
|15:30||Towards the Integration of Multi-Level and Multi-View Modelling for Interoperability|
|Yuhong Fu, Georg Grossmann, Karamjit Kaur, Matt Selway and Markus Stumptner|
|15:55||Using Multilevel Business Artifacts for Knowledge Management in Analytics Projects|
|Simon Staudinger, Christoph G. Schuetz and Michael Schrefl|
Giancarlo Guizzardi is a Full Professor of Software Science and Evolution as well as Chair and Department Head of Semantics, Cybersecurity & Services (SCS) at the University of Twente, The Netherlands. He is also an Affiliated/Guest Professor at the Department of Computer and Systems Sciences (DSV) at Stockholm University, in Sweden. He has been active for nearly three decades in the areas of Formal and Applied Ontology, Conceptual Modelling, Business Informatics, and Information Systems Engineering, working with a multi-disciplinary approach in Computer Science that aggregates results from Philosophy, Cognitive Science, Logics and Linguistics. Over the years, he has delivered keynote speeches in several key international conferences in these fields (e.g., ER, BPM, CAiSE - forthcoming). He is currently an associate editor of a number of journals including Applied Ontology and Data & Knowledge Engineering, a co-editor of the Lecture Notes in Business Information Processing series, and a member of several international journal editorial boards. Finally, he is a member of the Steering Committees of ER, EDOC, and IEEE CBI, and of the Advisory Board of the International Association for Ontology and its Applications (IAOA).