D 2019

Q3B: An Efficient BDD-based SMT Solver for Quantified Bit-Vectors

JONÁŠ, Martin and Jan STREJČEK

Basic information

Original name

Q3B: An Efficient BDD-based SMT Solver for Quantified Bit-Vectors

Authors

JONÁŠ, Martin (203 Czech Republic, belonging to the institution) and Jan STREJČEK (203 Czech Republic, guarantor, belonging to the institution)

Edition

Cham (Switzerland), CAV 2019: Computer Aided Verification, p. 64-73, 10 pp. 2019

Publisher

Springer

Other information

Language

English

Type of outcome

Stať ve sborníku

Field of Study

10201 Computer sciences, information science, bioinformatics

Country of publisher

Switzerland

Confidentiality degree

není předmětem státního či obchodního tajemství

Publication form

electronic version available online

References:

Impact factor

Impact factor: 0.402 in 2005

RIV identification code

RIV/00216224:14330/19:00107610

Organization unit

Faculty of Informatics

ISBN

978-3-030-25542-8

ISSN

UT WoS

000491468900004

Keywords in English

satisfiability; satisfiability modulo theories; bit-vectors; quantifiers; tool

Tags

International impact, Reviewed
Změněno: 28/4/2020 07:44, RNDr. Pavel Šmerk, Ph.D.

Abstract

V originále

We present the first stable release of our tool Q3B for deciding satisfiability of quantified bit-vector formulas. Unlike other state-of-the-art solvers for this problem, Q3B is based on translation of a formula to a bdd that represents models of the formula. The tool also employs advanced formula simplifications and approximations by effective bit-width reduction and by abstraction of bit-vector operations. The paper focuses on the architecture and implementation aspects of the tool, and provides a brief experimental comparison with its competitors.

Links

GA18-02177S, research and development project
Name: Abstrakce a jiné techniky v semi-symbolické verifikaci programů
Investor: Czech Science Foundation
MUNI/A/1018/2018, interní kód MU
Name: Rozsáhlé výpočetní systémy: modely, aplikace a verifikace VIII.
Investor: Masaryk University, Category A
MUNI/A/1040/2018, interní kód MU
Name: Zapojení studentů Fakulty informatiky do mezinárodní vědecké komunity 19 (Acronym: SKOMU)
Investor: Masaryk University, Category A