Abstract: A method to significantly accelerate sequential test generation algorithms by accurately computing signal constraints for large sequential circuits and using these constraints effectively during deterministic sequential test generation. The signal constraint computation technique is based on three key ideas: (1) unlike prior techniques (which compute line probabilities assuming only a 0 or 1 value for any signal), line probabilities are computed by allowing signals to assume values other than 0 or 1, (2) line justification techniques are employed to update line probabilities, and (3) symbolic simulation is iteratively used in conjunction with line probability computation and line justification to refine the set of values that a signal can assume. The method results in a significant reduction (more than 50%) in test generation time which is achieved without comprising the fault coverage than can be obtained.