Evaluating the Complexity of Deriving Adaptive Homing, Synchronizing and Distinguishing Sequences for Nondeterministic FSMs

3Citations
Citations of this article
1Readers
Mendeley users who have this article in their library.

This article is free to access.

Abstract

Homing, synchronizing and distinguishing sequences (HSs, SSs, and DSs) are used in FSM (Finite State Machine) based testing for state identification and can significantly reduce the size of a returned test suite with guaranteed fault coverage. However, such preset sequences not always exist for nondeterministic FSMs and are rather long when existing. Adaptive HSs, SSs and DSs are known to exist more often and be much shorter that makes them attractive for deriving test suites and adaptive checking sequences. As nowadays, a number of specifications are represented by nondeterministic FSMs, the deeper study of such sequences, their derivation strategies, and related complexity estimations/reductions is in great demand. In this paper, we evaluate the complexity of deriving adaptive HSs and SSs for noninitialized FSMs, the complexity of deriving DSs for noninitialized merging-free FSMs.

Cite

CITATION STYLE

APA

Yevtushenko, N., Kuliamin, V., & Kushik, N. (2019). Evaluating the Complexity of Deriving Adaptive Homing, Synchronizing and Distinguishing Sequences for Nondeterministic FSMs. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 11812 LNCS, pp. 86–103). Springer. https://doi.org/10.1007/978-3-030-31280-0_6

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free