MULTI2022: 9th International Workshop on Multi-Level Modelling Montreal, Canada, October 23-25, 2022 |
Conference website | https://jku-win-dke.github.io/MULTI2022/ |
Submission link | https://easychair.org/conferences/?conf=multi2022 |
Abstract registration deadline | July 20, 2022 |
Submission deadline | July 20, 2022 |
The yearly MULTI workshop is the premier event for researchersand practitioners working on multilevel modelling and multilevelsoftware development. We invite submissions from researchers andpractitioners in the field to discuss the current state of theart and present new research ideas.
Together with the Models Conference, MULTI 2022 will accommodate remote participation and presentation. All accepted papers presented online will be published by ACM, in a companion volume alongside the main proceedings volume of MODELS 2022.
Multilevel language architectures represent a new object-oriented paradigm both for conceptual modelling and software engineering. In contrast to conventional approaches, they allow for an arbitrary number of classification levels and introduce other concepts that foster reuse and adaptability. While multilevel languages and tools have reached a considerable maturity, the field still offers numerous challenges. The MULTI workshop series is dedicated to bring together experts who develop and apply multilevel language technologies as well as those who focus on specific analysis and design methods or on economic aspects of this new paradigm.
Multilevel modelling is an emerging new modelling paradigm that offers exciting new perspectives not only for conceptual modelling, but also for the development of software systems that are integrated with models of themselves. Multilevel DSMLs allow for combining the benefits of economies of scale with the productivity enabled by concepts that were designed for very specific domains. Multilevel modelling has been used successfully in a wide range of projects.
The MULTI series is aimed at providing a platform for exchanging ideas and promoting the further development of multilevel languages, methods and tools. In particular, the goal is to encourage the community to delineate different approaches to multilevel modelling and define objective ways to evaluate their respective strengths and weaknesses.
Topics of Interest
Topics for regular and position papers include, but are not limited to:
- the nature of elements in a multi-level hierarchy and how best to represent them,
- the importance and role of deep characterization mechanisms, including potency and its variants,
- the structure and labelling of an MLM framework,
- methods and techniques for discovering clabjects, specializations and classification relationships,
- formal approaches to MLM,
- fundamental aspects of MLM such as composition and decomposition,
- experiences and challenges in providing tool support for MLM,
- experiences and challenges in applying MLM to large and/or real-world problems,
- model management languages (transformation, code generation etc.) in a multi-level setting,
- criteria and approaches for comparing MLM approaches,
- integration of modelling and programming languages in a multi-level setting,
- definition of behavioral semantics in a multilevel setting,
- design patterns addressing when and how to apply multi-level metamodelling,
- case studies illustrating the usage of multi-level techniques to overcome difficulties occurring in classic modelling scenarios, and
- multi-level modelling of AI systems (knowledge graphs, machine learning).
Important dates
- Paper Submission: 20 July 2022; extended to 27 July 2022
- Authors Notification: 19 August 2022
- Camera-ready Papers: 26 August 2022
- Workshop: 23-25 October 2022
Submission Guidelines
Three kinds of papers are solicited: regular papers (10 pages), challenge papers (10 pages), and demo or position papers (5 pages).
Authors submit their papers as PDF files via Easychair. https://easychair.org/conferences/?conf=multi2022
Submissions must adhere to the ACM formatting instructions https://www.acm.org/publications/proceedings-template
Further details are available from https://jku-win-dke.github.io/MULTI2022/
Workshop Organizers
Manfred Jeusfeld, University of Skövde, IIT, Sweden
Juan de Lara, Universidad Autónoma de Madrid, Spain
Gergely Mezei, Budapest University of Technology and Economics, Hungary