MULTI 2020

7th International Workshop on Multi-Level Modelling

MULTI 2020, 16th October, Online 

09:00-12:30 GMT-4 (15:00-18:30 GMT+2 Europe/Amsterdam)

Welcome to MULTI 2020,

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. 


Call for Papers

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:

  • 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 such a durability and mutability,
  • the structure and labelling of a 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 techniques 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,
  • definition of behavioral semantics in a multilevel setting,
  • multi-level modeling for big data.

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. 


Manuel Wimmer

Johannes Kepler University Linz, Austria

Adrian Rutle

Western Norway University of Applied Sciences, Bergen, Norway

Bernd Neumayr

Johannes Kepler University Linz, Austria

Program Committee
  • João Paulo A. Almeida (Federal University of Espirito Santo, Brazil)
  • Colin Atkinson (University of Mannheim)
  • Mira Balaban (Ben-Gurion University, Israel)
  • Tony Clark (Aston University, UK)
  • Marian Daun (University of Duisburg Essen, Germany)
  • Juan De Lara (Universidad Autonoma de Madrid, Spain)
  • Ulrich Frank (Universität Duisburg-Essen)
  • Cesar Gonzalez Perez (Spanish National Research Council, Spain)
  • Georg Grossmann (University of South Australia, Australia)
  • Esther Guerra (Universidad Autonoma de Madrid, Spain)
  • Jens Gulden (University of Duisburg-Essen, Germany)
  • Manfred Jeusfeld (University of Skövde, Sweden)
  • Monika Kaczmarek-Heß (University of Duisburg-Essen)

  • Thomas Kuehne (Victoria University of Wellington, New Zealand)

  • Fernando Macías (IMDEA Software Institute, Spain)
  • 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)

Steering Committee
  • Colin Atkinson (University of Mannheim, Germany)
  • Thomas Kühne (Victoria University of Wellington, New Zealand)
  • Juan de Lara (Universidad Autónoma de Madrid, Spain)


26 July 2020

Paper Submission Deadline

21 August 2020

Authors Notification

28 August 2020

Camera-ready Papers

16 October 2020



First Session

09:00-10:30 (local time GMT-4), 15:00-16:30 (GMT+2 Central Europe-Amsterdam)

Dedicated slots for the presentations include Q&A.

  • Welcome by organizers (10 min)
  • Manfred Jeusfeld, Joao Paulo Almeida, Victorio Albani Carvalho, Claudenir Morais Fonseca and Bernd Neumayr: Deductive reconstruction of MLT* for multi-level modeling (20 min), further information:
  • Ulrich Frank and Daniel Töpel: Contingent Level Classes: Motivation, Conceptualization and Implications for Model Management (20 min)
  • Chris Partridge, Andrew Mitchell, Sergio de Cesare, Matthew West, Oscar Xiberta Soto, Marco da Silva and Mesbah Khan: Implicit requirements for ontological multi-level types in the UNICLASS classification (20 min)

Coffee Break

10:30-11:00 (local time GMT-4), 16:30-17:00 (GMT+2 Central Europe-Amsterdam)

Second Session

11:00-12:30 (local time GMT-4), 17:00-18:30 (GMT+2 Central Europe-Amsterdam)

  • Zoltán Theisz, Sándor Bácsi, Gergely Mezei, Ferenc A. Somogyi and Dániel Palatinszky: Join potency – a way of combining separate multi-level models (20 min)

  • Joao Paolo Alemeida, Thomas Kuehne, Marco Montali. EMISA Challenge announcement.

  • Thomas Kuehne and Arne Lange: Meaningful Metrics for Multi-Level Modeling (20 min)
  • Plenary discussion: Current state and future of Multi-Level Modeling.

The MULTI Process Challenge

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.

Download the MULTI Process Challenge PDF here


fully virtual