Regular Languages are Testable with a Constant Number of Queries

  • Authors:
  • Noga Alon;Michael Krivelevich;Ilan Newman;Mario Szegedy

  • Affiliations:
  • -;-;-;-

  • Venue:
  • FOCS '99 Proceedings of the 40th Annual Symposium on Foundations of Computer Science
  • Year:
  • 1999

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Abstract

We continue the study of combinatorial property testing, initiated by Goldreich, Goldwasser and Ron in 1996. The subject of this paper is testing regular languages. Our main result is as follows. For a regular language L over the binary alphabet, an integer n and a small enough constant \math, there exists a randomized algorithm which always accepts a word w of length n if w belongs to L, and rejects it with high probability if w has to be modified in at least \math positions to create a word in L. The algorithm queries \math polylog \math bits of w. This query complexity is shown to be optimal up to a factor poly-logarithmic in \math. We also discuss testability of more complex languages and show, in particular, that the query complexity required for testing context-free languages cannot be bounded by any function of epsilon. The problem of testing regular languages can be viewed as a part of a very general approach, seeking to probe testability of properties defined by logical means.