Scope of the Workshop

Model-Based Systems Engineering (MBSE) is a paradigm for specifying, designing, developing, implementing and maintaining increasingly complex systems at lower costs with better quality throughout their entire life cycle. These systems often combine multi-physics systems (mechanical, electrical, hydraulic, biochemical, etc.) with computational systems (control, signal processing, etc.). In this view, Multi-Paradigm Modeling (MPM), which proposes to model every part and aspect of such complex systems explicitly, at the most appropriate level(s) of abstraction,using the most appropriate formalism(s), offers a foundational framework for gluing the several disciplines together in a consistent way.

Consequently, MBSE supported by MPM requires many heterogeneous models to cover the many aspects or domains of systems, and the many required levels of abstraction. Extended enterprises, which consists of a network of firms combining their economic output to provide products and services also require the manipulation of multiple models. Similarly, the Industry 4.0 and the emergence of Digital Twins must also involve many models.

Model consistency is a main challenge that this so-called Model Management (MoM) aims to solve. But MoM encompasses many other activities beyond preserving model consistency, such as managing model views, model validity, model versions, model changes (especially in the context of collaborative modeling), and development workflows, which orchestrate activities performed on these models.

While several approaches, such as megamodels, model unification, view-based modeling and model federation have been explored, there is yet no unified theory or approach to MoM. Due to the urgent need for MoM, several tools are currently emerging from industry, which is trying to solve the problem on its own, in an ad-hoc way with little or nonexistent MoM theoretical foundations.

Therefore, this workshop aims to bring together researchers and practitioners in the area of MoM from academia and industry, to identify possible points of synergy, common problems and solutions, tool-building aspects and a vision for the future of this research area.

Topics of interest (including but not limited to)

• Foundations of MoM; challenges, theories, techniques and tools
• MoM with and for MBSE and MPM
• Management of modeling languages, model views, model validity, model changes, model versions, etc.
• Applications of MoM techniques in the domains of automotive, aviation, manufacturing, healthcare, enterprise software, etc.
• MoM at runtime for digital twins, self-adaptive systems, etc.
• MoM for large data models