Foundations of Multi-Paradigm Modelling for Cyber-Physical Systems

This open access book coherently gathers well-founded information on the fundamentals of and formalisms for modelling cyber-physical systems (CPS). Highlighting the cross-disciplinary nature of CPS modelling, it also serves as a bridge for anyone entering CPS from related areas of computer science or engineering. Truly complex, engineered systems—known as cyber-physical systems—that integrate physical, software, and network aspects are now on the rise. However, there is no unifying theory nor systematic design methods, techniques or tools for these systems. Individual (mechanical, electrical, network or software) engineering disciplines only offer partial solutions. A technique known as Multi-Paradigm Modelling has recently emerged suggesting to model every part and aspect of a system explicitly, at the most appropriate level(s) of abstraction, using the most appropriate modelling formalism(s), and then weaving the results together to form a representation of the system. If properly applied, it enables, among other global aspects, performance analysis, exhaustive simulation, and verification. This book is the first systematic attempt to bring together these formalisms for anyone starting in the field of CPS who seeks solid modelling foundations and a comprehensive introduction to the distinct existing techniques that are multi-paradigmatic. Though chiefly intended for master and post-graduate level students in computer science and engineering, it can also be used as a reference text for practitioners

Multi-objectives Refinement of AADL Models for the Synthesis Embedded Systems (mu-RAMSES)

International audienceModel transformation has become now well established as an approach to control and automate the production of the software targeted at large or embedded systems. However, this approach still lacks the ability to be fully automated and to take into account the possibly very large number of Non Functional properties (NFPs) required by the system. Starting from a design written in an architecture description language (AADL), a large number of valid transformations are candidates to be applied, with the aim to refine this design, in a step wise manner, towards its implementation. These transformations may be interdependent, and their selection should take the complex dependency relation into account. The selection should also take into account the impact on NFPs, especially knowing that NFPs may very often be in conflict. In this paper, we propose an approach that automates (i) the identification of model transformation alternatives (MTAs) taking into account their dependencies, and (ii) the selection of MTAs, based on evolutionary algorithms (EAs), that produce the best output models with respect to NFPs. Experiments on a case study provide evidence that the approach can be successfully applied for code generation of real time embedded applications.</p