Publication detail

Flatten and conquer: a framework for efficient analysis of string constraints

HOLÍK, L. ABDULLA, P. ATIG, M. BUI PHI, D. CHEN, Y. REZINE, A. RUMMER, P.

Original Title

Flatten and conquer: a framework for efficient analysis of string constraints

Type

conference paper

Language

English

Original Abstract

We describe a uniform and efficient framework for checking the satisfiability of a large class of string constraints. The framework is based on the observation that both satisfiability and unsatisfiability of common constraints can be demonstrated through witnesses with simple patterns. These patterns are captured using flat automata each of which consists of a sequence of simple loops. We build a Counter-Example Guided Abstraction Refinement (CEGAR) framework which contains both an under- and an over-approximation module. The flow of information between the modules allows to increase the precision in an automatic manner. We have implemented the framework as a tool and performed extensive experimentation that demonstrates both the generality and efficiency of our method.

Keywords

Automata Theory, Formal Verification, String Equation

Authors

HOLÍK, L.; ABDULLA, P.; ATIG, M.; BUI PHI, D.; CHEN, Y.; REZINE, A.; RUMMER, P.

Released

18. 6. 2017

Publisher

Association for Computing Machinery

Location

New York

ISBN

978-1-4503-4988-8

Book

Proceedings of the 38th ACM SIGPLAN Conference on Programming Language Design and Implementation

Edition

ACM

Pages from

602

Pages to

617

Pages count

16

URL

https://dl.acm.org/citation.cfm?doid=3062341.3062384

BibTex

@inproceedings{BUT146274,
  author="Lukáš {Holík} and Parosh {Abdulla} and Mohamed {Atig} and Diep {Bui Phi} and Yu-Fang {Chen} and Ahmed {Rezine} and Philipp {Rummer}",
  title="Flatten and conquer: a framework for efficient analysis of string constraints",
  booktitle="Proceedings of the 38th ACM SIGPLAN Conference on Programming Language Design and Implementation",
  year="2017",
  series="ACM",
  pages="602--617",
  publisher="Association for Computing Machinery",
  address="New York",
  doi="10.1145/3062341.3062384",
  isbn="978-1-4503-4988-8",
  url="https://dl.acm.org/citation.cfm?doid=3062341.3062384"
}

Documents

pldi17-main300.pdf