Detail publikace

A Symbolic Algorithm for the Case-Split Rule in String Constraint Solving

HAVLENA, V. LENGÁL, O. CHEN, Y. TURRINI, A.

Originální název

A Symbolic Algorithm for the Case-Split Rule in String Constraint Solving

Typ

článek ve sborníku ve WoS nebo Scopus

Jazyk

angličtina

Originální abstrakt

Case split is a core proof rule in current decision procedures for the theory of string constraints. Its use is the primary cause of the state space explosion in string constraint solving, since it is the only rule that creates branches in the proof tree. Moreover, explicit handling of the case split rule may cause recomputation of the same tasks in multiple branches of the proof tree. In this paper, we propose a symbolic algorithm that significantly reduces such a redundancy. In particular, we encode a string constraint as a regular language and proof rules as rational transducers. This allows to perform similar steps in the proof tree only once, alleviating the state space explosion. In our preliminary experimental results, we validated that our technique (implemented in a Python prototype) works in many practical cases where other state-of-the-art solvers, such as CVC4 or Z3 fail to provide an answer.

Klíčová slova

string solving regular model checking Nielsen transformation symbolic encoding

Autoři

HAVLENA, V.; LENGÁL, O.; CHEN, Y.; TURRINI, A.

Vydáno

29. 11. 2020

Nakladatel

Springer Verlag

Místo

Heidelberg

ISSN

0302-9743

Periodikum

Lecture Notes in Computer Science

Číslo

12470

Stát

Spolková republika Německo

Strany od

343

Strany do

363

Strany počet

21

URL

https://www.fit.vut.cz/research/publication/12347/

BibTex

@inproceedings{BUT168141,
  author="HAVLENA, V. and LENGÁL, O. and CHEN, Y. and TURRINI, A.",
  title="A Symbolic Algorithm for the Case-Split Rule in String Constraint Solving",
  booktitle="Proceedings of APLAS'20",
  year="2020",
  journal="Lecture Notes in Computer Science",
  number="12470",
  pages="343--363",
  publisher="Springer Verlag",
  address="Heidelberg",
  doi="10.1007/978-3-030-64437-6\{_}18",
  issn="0302-9743",
  url="https://www.fit.vut.cz/research/publication/12347/"
}