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Analysis and Transformation of Constrained Horn Clauses for Program Verification

Published online by Cambridge University Press:  15 November 2021

EMANUELE DE ANGELIS
Affiliation:
CNR-IASI, Rome, Italy (e-mail: [email protected])
FABIO FIORAVANTI
Affiliation:
DEC, University ‘G. d’Annunzio’, Chieti-Pescara, Italy (e-mail: [email protected])
JOHN P. GALLAGHER
Affiliation:
Roskilde University, Roskilde, Denmark and IMDEA Software Institute, Madrid, Spain (e-mail: [email protected])
MANUEL V. HERMENEGILDO
Affiliation:
IMDEA Software Institute, Madrid, Spain and Universidad Politécnica de Madrid (UPM), Madrid, Spain (e-mail: [email protected])
ALBERTO PETTOROSSI
Affiliation:
CNR-IASI, Rome, Italy and DICII, University of Rome ‘Tor Vergata’, Rome, Italy (e-mail: [email protected])
MAURIZIO PROIETTI
Affiliation:
CNR-IASI, Rome, Italy (e-mail: [email protected])
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Abstract

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This paper surveys recent work on applying analysis and transformation techniques that originate in the field of constraint logic programming (CLP) to the problem of verifying software systems. We present specialization-based techniques for translating verification problems for different programming languages, and in general software systems, into satisfiability problems for constrained Horn clauses (CHCs), a term that has become popular in the verification field to refer to CLP programs. Then, we describe static analysis techniques for CHCs that may be used for inferring relevant program properties, such as loop invariants. We also give an overview of some transformation techniques based on specialization and fold/unfold rules, which are useful for improving the effectiveness of CHC satisfiability tools. Finally, we discuss future developments in applying these techniques.

Type
Survey Article
Creative Commons
Creative Common License - CCCreative Common License - BY
This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution, and reproduction, provided the original article is properly cited.
Copyright
© The Author(s), 2021. Published by Cambridge University Press

Footnotes

*

Research partially funded by Spanish MICINN 2019-108528RB-C21 ProCode project, the Madrid M141047003 N-GREENS and P2018/TCS-4339 BLOQUES-CM programs, and the Tezos Foundation.

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