Some classes of finite state machines with polynomial length of distinguishing test cases
Yenigün, Hüsnü and Yevtushenko, Nina and Kushik, Natalia (2016) Some classes of finite state machines with polynomial length of distinguishing test cases. In: 31st Annual ACM Symposium on Applied Computing (SAC'16), Pisa, Italy
Official URL: http://dx.doi.org/10.1145/2851613.2851835
The paper is devoted to effective check of the existence and derivation of adaptive distinguishing sequences (distinguishing test cases) for possibly nondeterministic partial Finite State Machines (FSMs). The complexity of these problems for nondeterministic FSMs remains unknown, however the length of the corresponding test case is shown to be exponential. In this paper, we address FSM classes that allow to derive specific FSM projections for which the problem of checking whether a given FSM is adaptively distinguishing or not can be performed in polynomial time. In order to estimate the length of distinguishing test cases for FSMs of these classes we improve the upper bound on the length of an adaptive distinguishing test case for partial deterministic FSMs. The listed contributions make it possible to apply the proposed techniques for testing 'real' technical systems which behavior is decribed by (partial) nondeterministic FSMs.
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