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Given a propositional formula p produced by the BMC encoding, a SAT solver decides if p is satisfiable or not. If it is, a satisfying assignment is given that describes the path violating the property. Most of the SAT solvers apply a variant of the Davis-Putnam-LogemannLoveland (DPLL) algorithm [15]. Intuitively, DPLL performs alternatively two phases. The first one chooses a value for some variable. The second one propagates the implications of 3 Actually, [4] shows that it is sufficient to look for bounded solutions of [[M, ¬f ]]k up to bound k ≤ K which depends on f and M .

Equals ( " % Method0 " )) { if ( num_args == A ) { if ( Translated_ % AwaitCondition0 ) return true ; else return false ; } } ... // this is done for all methods } else if ( method_name . equals ( " % MethodN " )) { if ( num_args == B ) { if ( Translated_ % AwaitConditionN ) return true ; else return false ; } } ... } Figure 4. Translation rule for methods with await condition. types in lines 15–22. The Call object is finally created in line 23. In order to schedule the call for execution, we add the call object to the end of the remote call queue of the processor responsible for %SepArg0 (line 25).

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