ω-regular languages are testable with a constant number of queries

Hana Chockler, Orna Kupferman

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

2 Scopus citations

Abstract

We continue the study of combinatorial property testing. For a property ψ, an ε-test for ψ, for 0 < ε ≤ 1, is a randomized algorithm that given an input x, returns "yes" if x satisfies ψ, and returns "no" with high probability if x is ε-far from satisfying ψ, where ε-far essentially means that an ε-fraction of x needs to be changed in order for it to satisfy ψ. In [AKNS99], Alon et al. show that regular languages are ε-testable with a constant (depends on ψ and ε and independent of x) number of queries.We extend the result in [AKNS99] to ω-regular languages: given a nondeterministic Büchi automaton A on infinite words and a smallε > 0, we describe an algorithm that gets as input an infinite lasso-shape word of the form x · yω, for finite words x and y, samples only a constant number of letters in x and y, returns "yes" if w ∈ L(A), and returns "no" with probability 2/3 if w is ε-far from L(A). We also discuss the applicability of property testing to formal verification, where ω-regular languages are used for the specification of the behavior of nonterminating reactive systems, and computations correspond to lasso-shape words.

Original languageEnglish
Title of host publicationRandomization and Approximation Techniques in Computer Science - 6th International Workshop, RANDOM 2002, Proceedings
EditorsSalil Vadhan, Jose D. P. Rolim
PublisherSpringer Verlag
Pages26-38
Number of pages13
ISBN (Print)3540441476, 9783540457268
DOIs
StatePublished - 2002
Event6th International Workshop on Randomization and Approximation Techniques in Computer Science, RANDOM 2002 - Cambridge, United States
Duration: 13 Sep 200215 Sep 2002

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume2483
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference6th International Workshop on Randomization and Approximation Techniques in Computer Science, RANDOM 2002
Country/TerritoryUnited States
CityCambridge
Period13/09/0215/09/02

Bibliographical note

Publisher Copyright:
© Springer-Verlag Berlin Heidelberg 2002.

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