Formally Specifying Contract Optimizations with Bisimulations in Coq

The efficacy of formal verification of smart contracts depends on being able to correctly specify and carry out the verification of optimized code. However, code optimized for performance is rarely optimized for intelligibility, which can make formally verifying optimized code difficult and costly. To address this issue, we present a formal tool for reasoning about an optimized contract in terms of its reference implementation. This tool reduces the work of formally verifying an optimized contract to proving behavioral equivalence to the reference implementation.

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Publication Details

Journal
DROPS (Schloss Dagstuhl – Leibniz Center for Informatics)
Published
2025-01-01
DOI
https://doi.org/10.4230/oasics.fmbc.2025.11
Primary Topic
Blockchain Technology Applications and Security
Type
article
Field-Weighted Citation Impact
0.00
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article

Formally Specifying Contract Optimizations with Bisimulations in Coq

DROPS (Schloss Dagstuhl – Leibniz Center for Informatics)
Blockchain Technology Applications and Security
article

Formally Specifying Contract Optimizations with Bisimulations in Coq

article en

Abstract

The efficacy of formal verification of smart contracts depends on being able to correctly specify and carry out the verification of optimized code. However, code optimized for performance is rarely optimized for intelligibility, which can make formally verifying optimized code difficult and costly. To address this issue, we present a formal tool for reasoning about an optimized contract in terms of its reference implementation. This tool reduces the work of formally verifying an optimized contract to proving behavioral equivalence to the reference implementation.

DROPS (Schloss Dagstuhl – Leibniz Center for Informatics)
University of Cambridge (GB)
Openalex Percentile: Top 38%
Blockchain Technology Applications and Security
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Formally Specifying Contract Optimizations with Bisimulations in Coq · DROPS (Schloss Dagstuhl – Leibniz Center for Informatics) (2025) | TGRS Research Map | TGRS