Is it possible to create a machine learning classifier to generate Mock interfaces for systems testing?
A classical result from automaton theory shows that even the problem of finding minimum-size DFA consistent with given positive and negative samples is NP-hard. This was shown by Gold in 1978. Your problem is much harder, as in practice you would have to learn data relationships in addition to any finite-state control of the system interface.