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Communication Dans Un Congrès Année : 2022

EB4EB: A Framework for Reflexive Event-B

Résumé

Event-B is a correct-by-construction rigorous statebased method offering features for formal modelling and proof automation. An inductive proof schema allows to prove system properties, in particular invariants.In the current setup, verifying other properties such as deadlock-freeness, reachability, event scheduling, liveness, etc., requires adhoc modelling.These properties can be established partially using model checkers or by using third party interactive provers.Other crucial aspects, such as deadlock-freeness, are difficult to express. The availabilty of a meta-modelling mechanism for explicit manipulation of Event-B concepts would allow to deal with higher order modelling concepts and to define generic properties and associated proof obligations. In this paper, we propose EB4EB, an Event-B based modelling framework allowing to manipulate Event-B features explicitly based on meta modelling concepts. This framework relies on a set of Event-B theories defining data-types, operators, welldefined conditions, theorems and proof rules. It preserves the core logical foundation, including semantics, of original Event-B models. Based on the instantiation of the introduced features at meta level, deep and shallow modelling approaches are proposed to exploit this framework. In addition, a case study is developed to demonstrate the use of our framework applying the deep and shallow embedding approaches. The whole framework is supported by the Rodin platform handling Event-B models and proofs. Index Terms-Reflection, refinement and proof, meta-models, model instantiation, new proof obligations, theories, Event-B.
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Dates et versions

hal-03540955 , version 1 (24-01-2022)
hal-03540955 , version 2 (28-03-2023)

Identifiants

Citer

Peter Riviere, Neeraj Kumar Singh, Yamine Aït-Ameur. EB4EB: A Framework for Reflexive Event-B. 26th International Conference on Engineering of Complex Computer Systems (ICECCS 2022), Mar 2022, Hiroshima, Japan. pp.71-80, ⟨10.1109/ICECCS54210.2022.00017⟩. ⟨hal-03540955v2⟩
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