The Composition of Event-B Models

  • Authors:
  • Michael Poppleton

  • Affiliations:
  • School of Electronics and Computer Science, University of Southampton, Highfield, Southampton, UK SO17 1BJ

  • Venue:
  • ABZ '08 Proceedings of the 1st international conference on Abstract State Machines, B and Z
  • Year:
  • 2008

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Abstract

The transition from classical B [2] to the Event-B language and method [3] has seen the removal of some forms of model structuring and composition, with the intention of reinventing them in future. This work contributes to that reinvention. Inspired by a proposed method for state-based decomposition and refinement [5] of an Event-B model, we propose a familiar parallel event composition (over disjoint state variable lists), and the less familiar event fusion (over intersecting state variable lists). A brief motivation is provided for these and other forms of composition of models, in terms of feature-based modelling. We show that model consistency is preserved under such compositions. More significantly we show that model composition preserves refinement.