Smt-Switch: A Solver-Agnostic C++ API for SMT Solving

Makai Mann; Amalee Wilson; Yoni Zohar; Lindsey Stuntz; Ahmed Irfan; Kristopher Brown; Caleb Donovick; Allison Guman; Cesare Tinelli; Clark Barrett

doi:10.1007/978-3-030-80223-3_26

Smt-Switch: A Solver-Agnostic C++ API for SMT Solving

Makai Mann
, Amalee Wilson
, Yoni Zohar
, Lindsey Stuntz
, Ahmed Irfan
, Kristopher Brown
, Caleb Donovick
, Allison Guman
, Cesare Tinelli
, Clark Barrett

Department of Computer Science and Artificial Intelligence

Bar-Ilan University

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

This paper presents Smt-Switch, an open-source, solver-agnostic API for SMT solving. Smt-Switch provides simple, uniform, and high-performance access to SMT solving for applications in areas such as automated reasoning, planning, and formal verification. It defines an abstract interface, which can be implemented by different SMT solvers. The interface allows the user to create, traverse, and manipulate terms, as well as dynamically dispatch queries to various underlying SMT solvers.

Original language	English
Title of host publication	Theory and Applications of Satisfiability Testing – SAT 2021 - 24th International Conference, 2021, Proceedings
Editors	Chu-Min Li, Felip Manyà
Publisher	Springer Science and Business Media Deutschland GmbH
Pages	377-386
Number of pages	10
ISBN (Print)	9783030802226
DOIs	https://doi.org/10.1007/978-3-030-80223-3_26
State	Published - 2021
Event	24th International Conference on Theory and Applications of Satisfiability Testing, SAT 2021 - Barcelona, Spain Duration: 5 Jul 2021 → 9 Jul 2021

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	12831 LNCS

Conference

Conference	24th International Conference on Theory and Applications of Satisfiability Testing, SAT 2021
Country/Territory	Spain
City	Barcelona
Period	5/07/21 → 9/07/21

ASJC Scopus subject areas

Theoretical Computer Science
General Computer Science

Access to Document

10.1007/978-3-030-80223-3_26

Cite this

Mann, M., Wilson, A., Zohar, Y., Stuntz, L., Irfan, A., Brown, K., Donovick, C., Guman, A., Tinelli, C., & Barrett, C. (2021). Smt-Switch: A Solver-Agnostic C++ API for SMT Solving. In C.-M. Li, & F. Manyà (Eds.), Theory and Applications of Satisfiability Testing – SAT 2021 - 24th International Conference, 2021, Proceedings (pp. 377-386). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 12831 LNCS). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-030-80223-3_26

Mann, Makai ; Wilson, Amalee ; Zohar, Yoni et al. / Smt-Switch : A Solver-Agnostic C++ API for SMT Solving. Theory and Applications of Satisfiability Testing – SAT 2021 - 24th International Conference, 2021, Proceedings. editor / Chu-Min Li ; Felip Manyà. Springer Science and Business Media Deutschland GmbH, 2021. pp. 377-386 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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title = "Smt-Switch: A Solver-Agnostic C++ API for SMT Solving",

abstract = "This paper presents Smt-Switch, an open-source, solver-agnostic API for SMT solving. Smt-Switch provides simple, uniform, and high-performance access to SMT solving for applications in areas such as automated reasoning, planning, and formal verification. It defines an abstract interface, which can be implemented by different SMT solvers. The interface allows the user to create, traverse, and manipulate terms, as well as dynamically dispatch queries to various underlying SMT solvers.",

author = "Makai Mann and Amalee Wilson and Yoni Zohar and Lindsey Stuntz and Ahmed Irfan and Kristopher Brown and Caleb Donovick and Allison Guman and Cesare Tinelli and Clark Barrett",

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Mann, M, Wilson, A, Zohar, Y, Stuntz, L, Irfan, A, Brown, K, Donovick, C, Guman, A, Tinelli, C & Barrett, C 2021, Smt-Switch: A Solver-Agnostic C++ API for SMT Solving. in C-M Li & F Manyà (eds), Theory and Applications of Satisfiability Testing – SAT 2021 - 24th International Conference, 2021, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 12831 LNCS, Springer Science and Business Media Deutschland GmbH, pp. 377-386, 24th International Conference on Theory and Applications of Satisfiability Testing, SAT 2021, Barcelona, Spain, 5/07/21. https://doi.org/10.1007/978-3-030-80223-3_26

Smt-Switch: A Solver-Agnostic C++ API for SMT Solving. / Mann, Makai; Wilson, Amalee; Zohar, Yoni et al.
Theory and Applications of Satisfiability Testing – SAT 2021 - 24th International Conference, 2021, Proceedings. ed. / Chu-Min Li; Felip Manyà. Springer Science and Business Media Deutschland GmbH, 2021. p. 377-386 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 12831 LNCS).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AU - Stuntz, Lindsey

AU - Irfan, Ahmed

AU - Brown, Kristopher

AU - Donovick, Caleb

AU - Guman, Allison

AU - Tinelli, Cesare

AU - Barrett, Clark

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AB - This paper presents Smt-Switch, an open-source, solver-agnostic API for SMT solving. Smt-Switch provides simple, uniform, and high-performance access to SMT solving for applications in areas such as automated reasoning, planning, and formal verification. It defines an abstract interface, which can be implemented by different SMT solvers. The interface allows the user to create, traverse, and manipulate terms, as well as dynamically dispatch queries to various underlying SMT solvers.

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M3 - Conference contribution

SN - 9783030802226

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

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Y2 - 5 July 2021 through 9 July 2021

ER -

Mann M, Wilson A, Zohar Y, Stuntz L, Irfan A, Brown K et al. Smt-Switch: A Solver-Agnostic C++ API for SMT Solving. In Li CM, Manyà F, editors, Theory and Applications of Satisfiability Testing – SAT 2021 - 24th International Conference, 2021, Proceedings. Springer Science and Business Media Deutschland GmbH. 2021. p. 377-386. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-030-80223-3_26

Smt-Switch: A Solver-Agnostic C++ API for SMT Solving

Abstract

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ASJC Scopus subject areas

Access to Document

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