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Modeling and Verifying an Arrival Manager Using Event-B

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Résumé

The present paper describes an Event-B model of the Arrival MANager system (called AMAN), the case study provided by the ABZ’23 conference. The goal of this safety critical interactive system is to schedule the arrival times of aircraft at airports. This system includes two parts: an autonomous part which predicts the arrival time of an aircraft from external sources (flight plan information, radar and weather information, etc.) and an interface part that permits to the Air Traffic Controller (ATCo) to submit requests to AMAN like changes regarding the arrival times of aircraft. To formally model and verify this critical system, we use a correct-by-construction approach with the Event-B formal method and its refinement process. We mainly consider functional features of the case study; all proof obligations have been discharged using the provers of the Rodin platform under which we carried out our development. To help users understand how AMAN works and its main functionalities, a visualisation of the Event-B models was achieved using the VisB component of ProB. Our models have been validated using ProB by applying scenarios related to different functional aspects of the system.

langue originaleAnglais
titreRigorous State-Based Methods - 9th International Conference, ABZ 2023, Proceedings
rédacteurs en chefUwe Glässer, Jose Creissac Campos, Dominique Méry, Philippe Palanque
EditeurSpringer Science and Business Media Deutschland GmbH
Pages321-339
Nombre de pages19
ISBN (imprimé)9783031331626
Les DOIs
étatPublié - 1 janv. 2023
Evénement9th International Conference on Rigorous State-Based Methods, ABZ 2023 - Nancy, France
Durée: 30 mai 20232 juin 2023

Série de publications

NomLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume14010 LNCS
ISSN (imprimé)0302-9743
ISSN (Electronique)1611-3349

Une conférence

Une conférence9th International Conference on Rigorous State-Based Methods, ABZ 2023
Pays/TerritoireFrance
La villeNancy
période30/05/232/06/23

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