MULTI 2023: 10th International Workshop on Multi-Level Modeling

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 mechanims 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.

MULTI 2023 will be held as a satellite event of the MODELS 2023 conference at Västerås Kongress in Västerås, Sweden.

Paper Categories

MULTI 2023 solicits four kinds of papers:

• regular papers (10 pages).
• challenge submissions (10 pages).
• demo papers (5 pages).
• position papers (5 pages).

List of Topics

Topics for regular and position papers include, but are not limited to:

• the nature of elements in a multi-level hierarchy and how to best represent and present them.
• the importance and role of deep characterization mechanisms, including potency and its variants.
• the structure of MLM frameworks.
• fundamental aspects of MLM, such as model composition and decomposition.
• formal approaches to MLM.
• tool support for MLM.
• MLM in education.
• model management (transformation, code generation etc.) in a multi-level setting.
• integration of modelling and programming languages in a multi-level setting.
• constraints in a multi-level setting.
• definition of behavioral semantics in a multi-level setting.
• methods and techniques for discovering clabjects and their specializations and classification relationships.
• design patterns addressing when and how to apply multi-level metamodelling.
• case studies demonstrating advantages of multi-level techniques.
• applying MLM to large and/or real-world problems.
• criteria and approaches for comparing MLM approaches.

Proceedings

All accepted papers will be published by IEEE in a companion volume alongside the main proceedings of MODELS 2023.

Organisers

• Thomas Kühne
• Manfred Jeusfeld
• Zoltán Theisz