the premier event for researchers and practitioners who work on multilevel modeling and multilevel software development.
Multilevel language architectures represent a new object-oriented paradigm both for conceptual modeling and software engineering. Different from traditional 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.
Concerning the COVID-19 crisis and its impact on the workshop please follow updates on the models conference website. Together with the Models Conference, MULTI 2020 will be held entirely online and will accommodate remote participation and presentation. All accepted papers presented online will be published by ACM as planned.
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 now been used successfully in a wide range of projects.
The MULTI workshop series is the premier event for researchers and practitioners who work in the field of multilevel languages and tools or are interested in applying multilevel technologies. It 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/weaknesses.
Multi-level modeling (MLM) represents a significant extension to the traditional two-level object-oriented paradigm with the potential to dramatically improve upon the utility, reliability and complexity of models. Different from conventional approaches, they allow for an arbitrary number of classification levels and introduce other concepts that foster expressiveness, reuse and adaptability. A key aspect of the MLM paradigm is the use of entities that are simultaneously types and instances, a feature which has consequences for conceptual modeling, language engineering and for the development of model-based software systems.
The objectives of the MULTI series is to provide a forum for the MLM community to address the foundations of MLM approaches and support future modelers through better DSMLs, tools, methods and guidelines. The workshop will encourage the presentation of case studies and tool demonstrations. Furthermore, we consider organizing a practical challenge in order to compare different approaches to MLM. To achieve this goal, a significant proportion of time will be devoted to discussions. This will facilitate the development of a community consensus while giving participants a platform to discuss their individual ideas.
Possible topics include, but are not limited to:
Four kinds of papers are solicited (in ACM format): regular papers (max. 10 pages), tool-demo papers (max. 5 pages), position papers (max. 5 pages), and Challenge papers (max 10 pages + up to 5 pages to include important model fragments which demonstrate the solution; please see the challenge description and its requirements here).
Papers should be submitted as PDF files via Easychair. For formatting instructions see the Submission Guidelines of the Technical Track of MODELS 2020. Accepted papers will be published in the MODELS 2020 joint workshop proceedings (see here) in the ACM Digital Library and indexed in DBLP.
Monika Kaczmarek-Heß (University of Duisburg-Essen)
Thomas Kuehne (Victoria University of Wellington, New Zealand)
Gergely Mezei (Budapest University of Technology and Economics, Hungary)
Bernd Neumayr (Johannes Kepler University Linz, Austria)
Adrian Rutle (Western Norway University of Applied Sciences, Norway)
Markus Stumptner (University of South Australia, Australia)
Manuel Wimmer (Johannes Kepler University Linz, Austria)
Paper Submission Deadline
This challenge is intended to allow submitters to demonstrate the use of multi-level modeling techniques and enable the comparison of submissions and hence framework/language capabilities. The multi-level modeling community is invited to respond to this challenge with papers describing solutions to the challenge. Authors should emphasize the merits of their solutions according to the aspects defined in this challenge description. The challenge follows up on the MULTI Bicycle Challenge which was used in MULTI 2017 and MULTI 2018, and reuses some criteria that were established in these previous editions.
Despite the similar criteria, the subject domain has been changed entirely and new criteria have been added which are intended to increase opportunities for languages and tools to exercise their capabilities.
The challenge consists of a case description and a set of comparison criteria; following these should make it easy to compare and relate different solutions. Contributions clearly addressing the review criteria described in this document will be included in the workshop proceedings. The workshop organizers plan to invite selected contributions to a special journal issue.
We solicit challenge solution papers of max 10 pages + up to 5 pages to include important model fragments which demonstrate the solution. For formatting and submission instructions see above.