Q3B: An Efficient BDD-based SMT Solver for Quantified Bit-Vectors
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14330%2F19%3A00107610" target="_blank" >RIV/00216224:14330/19:00107610 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1007/978-3-030-25543-5_4" target="_blank" >http://dx.doi.org/10.1007/978-3-030-25543-5_4</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-030-25543-5_4" target="_blank" >10.1007/978-3-030-25543-5_4</a>
Alternative languages
Result language
angličtina
Original language name
Q3B: An Efficient BDD-based SMT Solver for Quantified Bit-Vectors
Original language description
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.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
—
OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
<a href="/en/project/GA18-02177S" target="_blank" >GA18-02177S: Abstraction and Other Techniques in Semi-Symbolic Program Verification</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach<br>I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2019
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
CAV 2019: Computer Aided Verification
ISBN
9783030255428
ISSN
0302-9743
e-ISSN
1611-3349
Number of pages
10
Pages from-to
64-73
Publisher name
Springer
Place of publication
Cham (Switzerland)
Event location
New York City, NY, USA
Event date
Jan 1, 2019
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000491468900004