Towards Semantical DSMLs for Complex or Cyber-physical Systems

Blazo Nastov, Vincent Chapurlat, Christophe Dony, François Pfister

2016

Abstract

MDE is nowadays applied in the context of software engineering for complex or cyber-physical systems, to build models of physical systems that can then be verified and simulated before they are built and deployed. This article focuses on DSMLs direct formal verification and simulation of their dynamic semantics. By “direct”, we mean without transforming the DSML description into an automata-like one. This paper presents xviCore, a metamdeling language to create DSMLs equipped with an abstract syntax, a concrete syntax and a dynamic semantics. We exemplify xviCore by an integration of a metamodeling language and a formal behavioral modeling language, based on the blackboard design pattern. Formal verification techniques based on the Linear Temporal Logic (LTL) and the Temporal Boolean Difference can be then applied as demonstrated by the proposed approach.

Paper Citation

in Harvard Style

Nastov B., Chapurlat V., Dony C. and Pfister F. (2016). Towards Semantical DSMLs for Complex or Cyber-physical Systems . In Proceedings of the 11th International Conference on Evaluation of Novel Software Approaches to Software Engineering - Volume 1: ENASE, ISBN 978-989-758-189-2, pages 115-123. DOI: 10.5220/0005768201150123

in Bibtex Style

@conference{enase16,
author={Blazo Nastov and Vincent Chapurlat and Christophe Dony and François Pfister},
title={Towards Semantical DSMLs for Complex or Cyber-physical Systems},
booktitle={Proceedings of the 11th International Conference on Evaluation of Novel Software Approaches to Software Engineering - Volume 1: ENASE,},
year={2016},
pages={115-123},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005768201150123},
isbn={978-989-758-189-2},
}

in EndNote Style

TY - CONF
JO - Proceedings of the 11th International Conference on Evaluation of Novel Software Approaches to Software Engineering - Volume 1: ENASE,
TI - Towards Semantical DSMLs for Complex or Cyber-physical Systems
SN - 978-989-758-189-2
AU - Nastov B.
AU - Chapurlat V.
AU - Dony C.
AU - Pfister F.
PY - 2016
SP - 115
EP - 123
DO - 10.5220/0005768201150123