8th Workshop on Multi-Paradigm Modelling (MPM) 
   


Welcome to the home page of the 8th International Workshop on Multi-Paradigm Modeling (MPM'14)!

Multi-Paradigm Modeling (MPM) is a research field focused on solving the challenge of combining, coupling, and integrating rigorous models of some reality, at different levels of abstraction and views, using adequate modeling formalisms and semantic domains, with the goal to simulate (for optimization) or realize systems that may be physical, software or a combination of both. The key challenges are finding adequate Model Abstractions, Multi-formalism modeling, Model Transformation and the application of MPM techniques and tools to Complex Systems. MPM theories/methods/technologies have been successfully applied in the field of software architectures, control system design, model integrated computing, and tool interoperability. The eighth Workshop on Multi-Paradigm Modeling (MPM) is aimed at furthering the state-of-the-art as well as to define future directions of this emerging research area by bringing together world experts in the field for an intense one-day workshop.

Organizers:

Objectives and Scope
Computational modeling has become the norm industry to remain competitive and be successful. As such, Model-Based Design of embedded software has enterprise-wise implications and modeling is not limited to isolated uses by a single engineer or team. Instead, it has reached a proliferation much akin to large software design, with requirements for infrastructure support such as version control, configuration management, and automated processing.

The comprehensive use of models in design has created a set of challenges beyond that of supporting one isolated design task. In particular, the need to combine, couple, and integrate models at different levels of abstraction and in different formalisms is posing a set of specific problems that the field of Computer Automated Multi-Paradigm Modeling (CAMPaM) is aiming to address.

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.

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.

Topics of interest include, but are not limited to:

  • Heterogeneity in models: multi-domain and multi-physics modeling, multiview modeling, multi-abstraction modeling;
  • Heterogeneity in modeling languages: engineering of modeling language, modeling Models of Computation (MoCs), quality evaluation and usability of modeling languages;
  • Multi-Paradigm Modeling techniques: model transformation, model composition, modeling cross-domain interactions, model-based detection of unanticipated interactions in heterogeneous systems, visualization of multi-paradigm models;
  • Applications of current MPM techniques, in particular industry applications;

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: 2014/04/22 07:18:16.