Detailed Information on Publication Record
2018
Abstraction of Bit-Vector Operations for BDD-Based SMT Solvers
JONÁŠ, Martin and Jan STREJČEKBasic information
Original name
Abstraction of Bit-Vector Operations for BDD-Based SMT Solvers
Authors
JONÁŠ, Martin (203 Czech Republic, belonging to the institution) and Jan STREJČEK (203 Czech Republic, guarantor, belonging to the institution)
Edition
Cham (Switzerland), Theoretical Aspects of Computing – ICTAC 2018, p. 273-291, 19 pp. 2018
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
printed version "print"
References:
Impact factor
Impact factor: 0.402 in 2005
RIV identification code
RIV/00216224:14330/18:00101330
Organization unit
Faculty of Informatics
ISBN
978-3-030-02507-6
ISSN
UT WoS
000612998900015
Keywords in English
satisfiability modulo theories; binary decision diagrams; abstractions; bit-vectors
Tags
Tags
International impact, Reviewed
Změněno: 29/4/2019 15:23, RNDr. Pavel Šmerk, Ph.D.
Abstract
V originále
BDD-based SMT solvers have recently shown to be competitive for solving satisfiability of quantified bit-vector formulas. However, these solvers reach their limits when the input formula contains complicated arithmetic. Hitherto, this problem has been alleviated by approximations reducing efficient bit-widths of bit-vector variables. In this paper, we propose an orthogonal abstraction technique working on the level of the individual instances of bit-vector operations. In particular, we compute only several bits of the operation result, which may be sufficient to decide the satisfiability of the formula. Experimental results show that our BDD-based SMT solver Q3B extended with these abstractions can solve more quantified bit-vector formulas from the smt-lib repository than state-of-the-art SMT solvers Boolector, CVC4, and Z3.
Links
GA18-02177S, research and development project |
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MUNI/A/0854/2017, interní kód MU |
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