https://www.wi-inf.uni-duisburg-essen.de/MULTI2020/ 

***Theme & Goals***

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 multi-level modeling 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 multi-level modelling community to address the foundations of multi-level modelling approaches and support future multi-level modelers through better DSMLs, tools, methods and guidelines. The workshop will encourage the presentation of case studies and tool demonstrations. To achieve this goal, a significant proportion of time will be devoted to discussions. This will facilitate the development of a community consensus while also giving participants a platform to discuss their individual ideas and justify funding through paper presentations.

***Topics of Interest***

Possible topics include, but are not restricted 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,

- MLM for big data.

***Submissions***

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 in the following).

Papers should be submitted 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 in the ACM Digital Library and indexed by DBLP. Authors submit their papers as PDF files to https://easychair.org/conferences/?conf=multi2020

- Workshop day: 18/19/20 October 2020

***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 instructions see the Submission Guidelines of the Technical Track of MODELS 2020. Authors submit their challenge solution papers as PDF files to https://easychair.org/conferences/?conf=multi2020

Download the MULTI Process Challenge PDF from https://www.wi-inf.uni-duisburg-essen.de/MULTI2020/wp-content/uploads/2019/05/MULTI_Process_Modeling_Challenge.pdf

***Organizers***

- Bernd Neumayr (Johannes Kepler University Linz, Austria)
- Adrian Rutle (Western Norway University of Applied Sciences, Bergen, Norway)

- 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)

-- 
Manuel Wimmer
Full Professor

Head of Department Business Informatics – Software Engineering
https://www.se.jku.at
Head of the Christian Doppler Laboratory for Model-Integrated Smart Production (CDL-MINT)
https://cdl-mint.se.jku.at
Program Director Business Informatics (Master)
https://www.jku.at/en/business-school

Johannes Kepler University Linz
Altenberger Straße 69
Science Park 3, Room S3 0077
4040 Linz, Austria

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