MoDELS 2021
3rd International Workshop on Multi-Paradigm Modelling for Cyber-Physical Systems (MPM4CPS'21) 

Welcome to the home page of the 3rd International Workshop on Multi-Paradigm Modeling for Cyber-Physical Systems (MPM4CPS'21) - 10 October 2021!

MPM4CPS 2021, the 3rd International Workshop on Multi-Paradigm Modelling for Cyber-Physical Systems is organized as part of the IEEE/ACM 24rd International Conference on Model Driven Engineering Languages and Systems (MODELS 2021) as a virtual workshop (initially planned to be hosted in Fukuoka, Japan).

MPM4CPS is the continuation of the successful MPM series of MODELS workshops aiming at defining the future directions of this emerging research area by bringing together world experts for an intense 1-day workshop.

  • Moussa Amrani, University of Namur,
  • Dominique Blouin, Telecom Paris, Institut Polytechnique de Paris,
  • Moharram Challenger, University of Antwerp - Flanders Make,
  • Julien Deantoni, Universite Nice - Sophia Antipolis,
  • Robert Heinrich, Karlsruhe Institute of Technology (KIT),
  • Manuel Wimmer, JKU Linz, CDL-MINT,
Steering Committee:
  • Hans Vangheluwe, University of Antwerp - Flanders Make,
  • Pieter J. Mosterman, The Mathworks,
  • Jeff Gray, University of Alabama,
  • Vasco Amaral, Universidade NOVA de Lisboa,

Objectives and Scope

Tackling the complexity involved in developing truly complex, designed systems is a topic of intense research and development. System complexity has drastically increased once software components were introduced in the form of embedded systems, controlling physical parts of the system, and has only grown in CPS, where the networking aspect of the systems and their environment are also considered. The complexity faced when engineering CPS is mostly due to the plethora of cross-disciplinary design alternatives and inter-domain interactions. To date, no unifying theory nor system design methods, techniques, or tools to design, analyze, and ultimately deploy CPS exist. Individual (physical systems, software, network) engineering disciplines offer only partial solutions and are no match for the complexity observed in CPS. Multi-Paradigm Modeling (MPM) offers a foundational framework for gluing the several disciplines together in a consistent way. The inherent complexity of CPS is broken down into different levels of abstraction and views, each expressed in appropriate modeling formalisms. MPM offers processes and tools that can combine, couple, and integrate each of the views that compose a system.

MPM encompasses many research topics - from language engineering (for DSLs, including their (visual) syntax and semantics), to processes to support multi-view and multi-abstraction modeling, simulation for system analysis, and deployment. The added complexity that CPS bring compared to embedded and software-intensive systems requires to look at these new applications and how MPM techniques can be applied or adapted to them, tying together multiple domains. Many remaining research questions require answers from researchers in different domains, as well as a unified effort from researchers that work on supporting techniques and technologies.

Topics of interest include, but are not limited to:

  • Heterogeneous models: multi-domain and multi-physics modeling, multi-view modeling, multi-abstraction modeling;
  • Heterogeneity in modeling languages: "blended" textual/visual modeling, modular design of modeling languages, the modeling/formal analysis/simulation/synthesis of user interfaces;
  • Multi-Paradigm Modeling techniques: model transformation, model composition and integration, modeling cross-domain interactions, model-based detection of unanticipated interactions in heterogeneous systems, (co-)simulation of heterogeneous models, machine learning applied to the design of CPS or their languages in an MPM context;
  • Applications of and experience with current MPM techniques: focus on Cyber-Physical Systems in a domain such as automotive, aerospace, manufacturing, ...

Contributions should clearly address the foundations of multi-paradigm modeling by demonstrating the use of models to achieve the stated objectives and discuss the benefits of explicit modeling.
Maintained by Hans Vangheluwe. Last Modified: 2021/09/30 08:25:12.