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.
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Poppleton, M. (2008). The Composition of Event-B Models. In: Börger, E., Butler, M., Bowen, J.P., Boca, P. (eds) Abstract State Machines, B and Z. ABZ 2008. Lecture Notes in Computer Science, vol 5238. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-87603-8_17
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DOI: https://doi.org/10.1007/978-3-540-87603-8_17
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