The Golem Horn Solver
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F23%3A10474850" target="_blank" >RIV/00216208:11320/23:10474850 - isvavai.cz</a>
Result on the web
<a href="https://doi.org/10.1007/978-3-031-37703-7_10" target="_blank" >https://doi.org/10.1007/978-3-031-37703-7_10</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-031-37703-7_10" target="_blank" >10.1007/978-3-031-37703-7_10</a>
Alternative languages
Result language
angličtina
Original language name
The Golem Horn Solver
Original language description
The logical framework of Constrained Horn Clauses (CHC) models verification tasks from a variety of domains, ranging from verification of safety properties in transition systems to modular verification of programs with procedures. In this work we present Golem, a flexible and efficient solver for satisfiability of CHC over linear real and integer arithmetic. Golem provides flexibility with modular architecture and multiple back-end model-checking algorithms, as well as efficiency with tight integration with the underlying SMT solver. This paper describes the architecture of Golem and its back-end engines, which include our recently introduced model-checking algorithm TPA for deep exploration. The description is complemented by extensive evaluation, demonstrating the competitive nature of the solver.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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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/GA23-06506S" target="_blank" >GA23-06506S: Advanced Analysis and Verification for Advanced Software</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2023
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
ISBN
978-3-031-37702-0
ISSN
0302-9743
e-ISSN
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Number of pages
15
Pages from-to
209-223
Publisher name
Springer
Place of publication
Cham
Event location
Paříž, Francie
Event date
Jul 17, 2023
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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