Decreasing the length of adaptive distinguishing experiments for nondeterministic merging-free finite state machines

Nina Yevtushenko, Natalia Kushik

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Adaptive distinguishing experiments with nondeterministic Finite State Machines (FSMs) are widely used for deriving tests with the guaranteed fault coverage for reactive discrete event systems. For test minimization, adaptive distinguishing sequences of minimal length that distinguish as many states as possible are most interesting. However, it is known that in general, the length of an (adaptive) input sequence distinguishing states of a nondeterministic FSM can be exponential with respect to the number of FSM states. This paper is devoted to deriving adaptive distinguishing sequences for a nondeterministic FSM of a special class with the length that is polynomial with respect to the number of FSM states.

Original languageEnglish
Title of host publicationProceedings of 2015 IEEE East-West Design and Test Symposium, EWDTS 2015
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781467377751
DOIs
Publication statusPublished - 15 Jun 2016
Externally publishedYes
Event2015 IEEE East-West Design and Test Symposium, EWDTS 2015 - Batumi, Georgia
Duration: 26 Sept 201529 Sept 2015

Publication series

NameProceedings of 2015 IEEE East-West Design and Test Symposium, EWDTS 2015

Conference

Conference2015 IEEE East-West Design and Test Symposium, EWDTS 2015
Country/TerritoryGeorgia
CityBatumi
Period26/09/1529/09/15

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