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Authors: Ludovic Apvrille 1 ; Pierre De Saqui-Sannes 2 ; Oana Hotescu 2 and Alessandro Tempia Calvino 3

Affiliations: 1 LTCI, Telecom Paris, Institut Polytechnique de Paris, France ; 2 ISAE-SUPAERO, Université de Toulouse, France ; 3 LSI, École Polytechnique Fédérale de Lausanne, Switzerland

Keyword(s): MBSE, SysML, Formal Verification, Model Checking.

Abstract: Formal verification of SysML models contributes to early detection of design errors early in the life cycle of systems. Incremental modeling of systems leads to the repeated verification of parts of systems models that were already verified in previous versions of the SysML model. This paper proposes to optimize the verification process by generating dependency graphs from SysML models. This revisited verification technique is now supported by TTool. It is illustrated with an Avionics Full DupleX network.

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Paper citation in several formats:
Apvrille, L.; De Saqui-Sannes, P.; Hotescu, O. and Calvino, A. (2022). SysML Models Verification Relying on Dependency Graphs. In Proceedings of the 10th International Conference on Model-Driven Engineering and Software Development - MODELSWARD; ISBN 978-989-758-550-0; ISSN 2184-4348, SciTePress, pages 174-181. DOI: 10.5220/0010792900003119

@conference{modelsward22,
author={Ludovic Apvrille. and Pierre {De Saqui{-}Sannes}. and Oana Hotescu. and Alessandro Tempia Calvino.},
title={SysML Models Verification Relying on Dependency Graphs},
booktitle={Proceedings of the 10th International Conference on Model-Driven Engineering and Software Development - MODELSWARD},
year={2022},
pages={174-181},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010792900003119},
isbn={978-989-758-550-0},
issn={2184-4348},
}

TY - CONF

JO - Proceedings of the 10th International Conference on Model-Driven Engineering and Software Development - MODELSWARD
TI - SysML Models Verification Relying on Dependency Graphs
SN - 978-989-758-550-0
IS - 2184-4348
AU - Apvrille, L.
AU - De Saqui-Sannes, P.
AU - Hotescu, O.
AU - Calvino, A.
PY - 2022
SP - 174
EP - 181
DO - 10.5220/0010792900003119
PB - SciTePress