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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/" }
Dokumenty
Chen2020_Chapter_ASymbolicAlgorithmForTheCase-S.pdf