Abstract. Symmetry reduction is an established method for limiting the amount of states that have to be checked during exhaustive model checking. The idea is to only verify a single representative of every class of symmetric states. However, computing this representative can be nontrivial, especially for a language such as B with its involved data structures and operations. In this paper, we propose an alternate approach, called permutation flooding. It works by computing permutations of newly encountered states, and adding them to the state space. This turns out to be relatively unproblematic for B's data structures and we have implemented the algorithm inside the ProB model checker. Empirical results confirm that this approach is effective in practice; speedups exceed an order of magnitude in some cases. The paper also contains correctness results of permutation flooding, which should also be applicable for classical symmetry reduction in B.

Symmetry reduction is

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Abstract. Symmetry reduction is a model checking technique that can help alleviate the problem of state space explosion, by preventing redundant state space exploration. In previous work, we have developed three effective approaches to symmetry reduction for B that have been implemented into the ProB model checker, and we have proved the soundness of our state symmetries. However, it is also important to show our techniques are sound with respect to standard model checking, at the algorithmic level. In this paper, we present a retrospective B development that addresses this issue through a series of B refinements. This work also demonstrates the valuable insights into a system that can be gained through formal modelling.

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