On the Importance of Explicit Domain Modelling in Refinement-Based Modelling Design. Experiments with Event-B

Yamine Ait Ameur; Idir Ait-Sadoune; Pierre Castéran; J. Paul Gibson; Kahina Hacid; Souad Kherroubi; Dominique Méry; Linda Mohand Oussaid; Neeraj Kumar Singh; Laurent Voisin

doi:10.1007/978-3-319-91271-4_35

On the Importance of Explicit Domain Modelling in Refinement-Based Modelling Design. Experiments with Event-B

Yamine Ait Ameur ¹ Idir Ait-Sadoune ² Pierre Castéran ³ J. Paul Gibson ^{4, 5} Kahina Hacid ¹ Souad Kherroubi ⁶ Dominique Méry ^{7, 6, 8, 9} Linda Mohand Oussaid ² Neeraj Kumar Singh ¹ Laurent Voisin ¹⁰

1 IRIT - Institut de recherche en informatique de Toulouse

2 LRI - Laboratoire de Recherche en Informatique

3 LaBRI - Laboratoire Bordelais de Recherche en Informatique

4 SAMOVAR - Services répartis, Architectures, MOdélisation, Validation, Administration des Réseaux

5 INF - Département Informatique

6 MOSEL - Proof-oriented development of computer-based systems

LORIA - FM - Department of Formal Methods

7 VERIDIS - Modeling and Verification of Distributed Algorithms and Systems

LORIA - FM - Department of Formal Methods , Inria Nancy - Grand Est, MPII - Max-Planck-Institut für Informatik

8 UL - Université de Lorraine

9 TELECOM Nancy

10 Systerel

Abstract : Although several authors like P. Zave and M. Jackson, D. Bjorner, A. Van Lamsweerde have drawn the attention of system designers on the ne- cessity to handle domain knowledge, while designing systems, it is still a major concern nowadays. The IMPEX project, funded by the French ANR national research agency, addresses the problem of making explicit domain knowledge in formal system developments using refinement and proof based formal methods. It advocates the use and formalisation of ontologies as models for domain knowl- edge. The Event-B modelling technique has shown its usefulness to support the various developments. In this paper, we briefly describe the approach and the case studies developed in the context of this project.

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Conference papers

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Computer Science [cs] / Modeling and Simulation

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