A test sequence generation method, system, and computer program product, include collecting an action sequence, training a recurrent neural network (RNN) model to encode a frequency of actions in the action sequence and determine meaningful action sequences, and applying the RNN model to prioritize the meaningful action sequences that have a frequency less than a predetermined threshold following the action sequence.