Software Component Design with the B Method — A Formalization in Isabelle/HOL

Déharbe, David; Merz, Stephan

doi:10.1007/978-3-319-28934-2_2

Cited by 1 publication

(1 citation statement)

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“…They implement a tool to perform this translation and apply the contributions of their work to the security policy of a medical emergency information system. The research reported by De´harbe and Merz 41 is interested in behavioral aspects of artifacts produced in design software components which are developed by Isabelle/HOL theory following B method. They formalize semantic objects and describe interpretation of the B method of the used concepts.…”

Section: Related Workmentioning

confidence: 99%

Distributed Reconfigurable B approach for the specification and verification of B-based distributed reconfigurable control systems

Oueslati

Mosbahi

2017

Advances in Mechanical Engineering

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This research article proposes a novel approach called Distributed Reconfigurable B to specify and verify distributed reconfigurable control systems using B method. Reconfiguration signifies the dynamic adaptation of the system behavior to the evolution of its environment by applying a reconfiguration scenario. A multi-agent architecture is defined to affect a reconfiguration agent to ensure local reconfiguration for each subsystem and a coordination agent to manage the different subsystems to guarantee the coherence of the whole system. A reconfigurable system is a set of B operations where only a subset is executed by adding or removing operations after a well-defined reconfiguration scenario. Distributed Reconfigurable B defines two complementary steps to be applied in abstract model of B method: specification and verification. The first step models the agents according to Distributed Reconfigurable B formalism. The second verifies distributed reconfigurable control systems using Atelier B tool and avoids the redundant checking of different B machines by applying the implemented Check Reconfigurable B tool. We apply the contributions on the two benchmark production systems: FESTO and EnAS.

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Section: Related Workmentioning

confidence: 99%