Visible to the public CfP: workshop on Multi-Paradigm Modeling

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CALL FOR PAPERS: 8th Workshop on Multi-Paradigm Modeling (MPM)

http://msdl.cs.mcgill.ca/conferences/MPM/

PDF: http://msdl.cs.mcgill.ca/conferences/MPM/files/cfp.pdf

Valencia, Spain

Co-located with: ACM/IEEE 17th International Conference on Model Driven Engineering Languages and Systems

PURPOSE

The purpose of this workshop is to bring together researchers and practitioners in the area of Multi-Paradigm Modeling in order to identify possible points of synergy, common problems and solutions, tool building aspects and visions for the future of the area.

IMPORTANT DATES

  • Paper submission deadline: July 11, 2014
  • Notification of acceptance: August 22, 2014
  • Camera-ready papers due: September 7, 2014

SCOPE

The essential element of multi-paradigm modeling is the use of explicit and heterogeneous models throughout. This leads to a framework with omnipresent models. Some represent the syntax of formalisms used for modeling, others are used to model the transformations that represent the operational semantics, as well as model-to-model transformations for inter-formalism transformation. Moreover, others are used to model the composition of models or even to model the composition of modeling formalisms. These models are then used to facilitate generative tasks in a language engineering space, such as evolving a domain specific modeling formalism as its requirements change, but also in a tool engineering space, such as automatic generation of integrated development environments. The use of ubiquitous explicit models during the whole system design process, from modeling formalism definition to system implementation, allows multiple types of analyses at various levels with great benefits in terms of performance, cost- effectiveness, safety, etc.

TOPICS OF INTEREST (including, but not limited to)

  • Heterogeneous models: multi-domain and multi-physics modeling, multi-view modeling, multi-abstraction modeling;
  • Heterogeneity in modeling languages: engineering of the modeling language, modeling
  • Models of Computation (MoCs), quality evaluation and usability of modeling languages;
  • Multi-Paradigm Modeling techniques: model transformation, model composition and integration, modeling cross-domain interactions, model-based detection of unanticipated interactions in heterogeneous systems, visualization of multi-paradigm models;
  • Applications of and experience with current MPM techniques. Non-exhaustive list of domains: healthcare, smart cities, smart homes, automotive, future energy systems, human-computer interaction, etc.

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.

SUBMISSION PROCEDURE AND PUBLICATION PROCEDURE

Papers must be submitted electronically as PDF via EasyChair from the workshop web site: http://msdl.cs.mcgill.ca/conferences/MPM/

Papers will be peer reviewed by at least three members of the program committee.

All accepted workshop papers will be published by CEUR, and will be indexed by DBLP.

TYPES OF SUBMISSIONS

Conceptual papers, as well as application and tool papers, are all welcome. Papers may be short (max. 6 pages) or full (max. 10 pages) and must follow the LNCS style available at the workshop web site.

CONTACT

For any questions or concerns, please contact mpm14@supelec.fr

ORGANIZING COMMITTEE

  • Daniel Balasubramanian, Vanderbilt University
  • Christophe Jacquet, Supelec
  • Sahar Kokaly, McMaster University
  • Tamas Meszaros, Budapest University of Technology and Economics
  • Pieter Van Gorp, Eindhoven University of Technology

PROGRAM COMMITTEE (tentative)

  • Mauricio Alferez, INRIA
  • Bruno Barroca, Universidade Nova de Lisboa
  • Kirstie Bellman, The Aerospace Corporation
  • Frederic Boulanger, Supelec
  • Didier Buchs, University of Geneva
  • Arnaud Cuccuru, CEA LIST
  • Juan de Lara, Universidad Autonoma de Madrid
  • Joachim Denil, McGill University
  • Dirk Deridder, Smals
  • Thomas Huining Feng, LinkedIn Corp.
  • Holger Giese, Hasso-Plattner-Institut
  • Esther Guerra, Universidad Autonoma de Madrid
  • Reiko Heckel, University of Leicester
  • Wesley Hewett, Lockheed Martin MST
  • Steve Hostettler, University of Geneva
  • Thomas Kuhne, Victoria University of Wellington
  • Levi Lucio, McGill University
  • Jose Luis Risco Martin, Universidad Complutense de Madrid at Madrid
  • Allan McInnes, University of Canterbury
  • Gergely Mezei, Budapest University of Technology and Economics
  • Bart Meyers, University of Antwerp
  • Mark Minas, University of the Federal Armed Forces
  • Chris Paredis, Georgia Tech, Atlanta, Georgia
  • Hessam Sarjoughian, Arizona State University
  • Srini Srinivasan, Lockheed Martin
  • Martin Toerngren, KTH Royal Institute of Technology
  • Stefan Van Baelen, iMinds
  • Jeroen Voeten, Eindhoven University of Technology
  • Bernhard Westfechtel, University of Bayreuth