Modeling a Landing Gear System in Event-B

Mammar, Amel; Laleau, Régine

doi:10.1007/978-3-319-07512-9_6

Cited by 20 publications

(14 citation statements)

References 6 publications

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“…The last Event-B machine is quite large (2 694 LOC), which denotes that the case study was an interesting modeling and verification challenge. The Rodin provers were less efficient than in previous ABZ case studies, where the manual proofs ratio was closer to 30% [8,9].…”

Section: Discussioncontrasting

confidence: 60%

An Event-B Model of an Automotive Adaptive Exterior Light System

Mammar

Frappier

Laleau

2020

Rigorous State-Based Methods

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This paper introduces an Event-B formal model of the adaptive exterior light system for cars, a case study proposed in the context of the ABZ2020 conference. The system describes the different provided lights and the conditions under which they are switched on/off in order to improve the visibility of the driver without dazzling the oncoming ones. The system can be viewed as a lights controller that reads different information form the available sensors (key state, exterior luminosity, etc.) and takes the adequate actions by acting on the actuators of the lights in order to ensure a good visibility for the driver according to the information read. Our model is built using stepwise refinement with the Event-B method. We consider all the features of the case study, all proof obligations have been discharged using the Rodin provers. Our model has been validated using ProB by applying the different provided scenarios. This validation has permitted us to point out and correct some mistakes, ambiguities and oversights in the first versions of the case study.

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Section: Discussioncontrasting

confidence: 60%

An Event-B Model of an Automotive Adaptive Exterior Light System

Mammar

Frappier

Laleau

2020

Rigorous State-Based Methods

Self Cite

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“…• Formal modeling methods including the Event-B methods [34,35,36,37,42], abstract state machines (ASM) [38,43], and the Fiacre formal language [39,40]; • Verification techniques including a proof theory [34,35,37,43] and model checking [35,39,41,40,43]; and • A test case generation technique [41], a run-time monitoring approach [40,41], and a simulation technique [44]. These proposals provide only a partial solution with a unique objective, either modeling, verification, or testing.…”

Section: Discussionmentioning

confidence: 99%

Verification and testing of safety-critical airborne systems: A model-based methodology

et al. 2020

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In this paper, we address the issues of safety-critical software verification and testing that are key requirements for achieving DO-178C and DO-331 regulatory compliance for airborne systems. Formal verification and testing are considered two different activities within airborne standards and they belong to two different levels in the avionics software development cycle. The objective is to integrate model-based verification and model-based testing within a single framework and to capture the benefits of their cross-fertilization. This is achieved by proposing a new methodology for the verification and testing of parallel communicating agents based on formal models. In this work, properties are extracted from requirements and formally verified at the design level, while the verified properties are propagated to the implementation level and checked via testing. The contributions of this paper are a methodology that integrates verification and testing, formal verification of some safety critical software properties, and a testing method for Modified Condition/Decision Coverage (MC/DC). The results of formal verification and testing can be used as evidence for avionics software certification.

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“…Also, we think that more information should be provided on the internal variables like setV ehicleSpeed that represents the automatic acceleration of the system in order to able to build a more complete system. Finally through the different case studies proposed in the ABZ conference [8,9], we are now convinced of the need to improve the Event-B language to make it supports the real numbers as basic types. Its prover should be also extended to include more rules on arithmetic and set theories.…”

Section: Discussionmentioning

confidence: 99%

Modeling of a Speed Control System Using Event-B

Mammar

Frappier

2020

Rigorous State-Based Methods

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The present paper presents our proposal of an Event-B model of a speed control system, a part of the case study provided in the ABZ2020 conference. The case study describes how the system regulates the current speed of a car according to a set criteria like the speed desired by the driver, the position of a possible preceding vehicle but also a given speed limit that the driver must not exceed. For that purpose, this controller reads different information form the available sensors (key state, desired speed, etc.) and takes the adequate actions by acting on the actuators of the car's speed according to the read information. To formally model this system, we adopt a stepwise refinement approach with the Event-B method. We consider most features of the case study, all proof obligations have been discharged using the Rodin provers. Our model has been validated using ProB by applying the different provided scenarios. This validation has permitted us to point out and correct some mistakes, ambiguities and oversights contained in the first versions of the case study.

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Modeling a Landing Gear System in Event-B

Cited by 20 publications

References 6 publications

An Event-B Model of an Automotive Adaptive Exterior Light System

An Event-B Model of an Automotive Adaptive Exterior Light System

Verification and testing of safety-critical airborne systems: A model-based methodology

Modeling of a Speed Control System Using Event-B

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