How to Order Vertices for Distributed LTL Model-Checking Based on Accepting Predecessors

Distributed automata-based LTL model-checking relies on algorithms for finding accepting cycles in a Büchi automaton. The approach to distributed accepting cycle detection as presented in [9] is based on maximal accepting predecessors. The ordering of accepting states (hence the maximality) is one of the main factors affecting the overall complexity of model-checking as an imperfect ordering can enforce numerous re-explorations of the automaton. This paper addresses the problem of finding an optimal ordering, proves its hardness, and gives several heuristics for finding an optimal ordering in the distributed environment. We compare the heuristics both theoretically and experimentally to find out which of these work well.