A growing community of researchers is excited about the prospects offered by multilevel modelling. However, there is still no clear consensus on what this new paradigm actually entails and how it should be applied. For example, there are different views on whether it is sound to combine instance facets and type facets into so-called clabjects, whether strict metamodeling is too restrictive, and what tool architectures provide the best framework for modelling with multiple classification levels. This lack of a foundational consensus is mirrored by the lack of a common focus in current multilevel tools.

The goal of MULTI 2018 is to address these challenges and continue the community building established in the previous workshops. In particular, the goal is to encourage the community to delineate different approaches to multi-level modelling and define objective ways to evaluate their respective strengths/weaknesses. One key way of addressing this goal is to identify standard/canonical examples specially designed to exercise the abilities of multilevel modelling approaches. We encourage submissions on new concepts, implementation approaches and formalisms as well as submissions on controversial positions, requirements for evaluation criteria or case-study scenarios. Contributions in the area of tool building, multilevel modelling applications, canonical examples and educational material are equally welcome.

Possible topics include, but are not restricted to:

• the exact nature and semantics of elements in a multilevel hierarchy and how best to represent them
• the importance and role of potency and its variants such a durability and mutability
• transitioning from traditional modelling approaches/tools to multi-level approaches
• engineering domain-specific languages and complete tool support
• methods for designing multilevel models
• formal approaches to multilevel modelling
• experiences and challenges in providing tool support for multilevel modelling
• experiences and challenges in applying multilevel modelling techniques to large and/or real world problems
• model management languages (transformation, code generation etc.) in a multi-level setting
• comparisons of multilevel and two-level solutions for modelling problems
• criteria for comparing multilevel modelling approaches and evaluating their usability
• canonical multi-level modelling examples and challenges
• distinct and multiple viewpoints on multilevel models
• methods for developing multilevel systems and languages
• the management of changes in multilevel models
• innovative systems architectures enabled by multilevel languages
• multilevel modelling versus knowledge engineering and ontologies

Three kinds of papers are solicited: regular papers (max. 10 pages), challenge papers (max. 10 pages), and position papers (max. 5 pages), in LNCS format.

Papers should be submitted via Easychair. Accepted papers will be published as CEUR workshop proceedings and indexed in DBLP. Authors submit their papers as PDF files to https://easychair.org/conferences/?conf=multi2018.

The workshop provides a platform for tool demonstrations, too. Please contact Tony Clark to determine the scope and structure of a demo.

To promote the exchange between different schools of multilevel modelling and to contribute to a consolidation of the field, this year’s MULTI will host a specific modelling challenge (The Bicycle Challenge). Challenge participants are asked to develop a multilevel model, or multilevel DSMLs respectively, to represent a domain that is provided in a natural language description. The solutions should account for certain requirements and are expected to be submitted in a given structure.