Towards solidity smart contract efficiency optimization through code mining

Deploying smart contracts and invoking their functions on block-chains incur gas costs, which depend on the operations executed by those functions. This makes optimizing the gas cost of smart contract functions a rewarding goal. However, existing approaches to gas cost optimization of smart contracts mainly involve rule-based optimization or automatic optimization for specific types of patterns. In this paper, we discuss a novel approach to automatically retrieving optimized versions of Solidity functions from a repository of smart contracts. The system identifies and suggests gas-efficient alternatives that maintain functional equivalence by comparing the opcode sequences of individual functions. We evaluate this approach on a dataset of 16,529 functions from real-world contracts, demonstrating substantial gas savings, as high as 34% on average when considering the most similar functions.

Subjects

blockchain

code mining

code similarity

control flow graph

gas cost

optimization

smart contracts

DDC Class

600: Technology

Lizenz

https://creativecommons.org/licenses/by/4.0/

Publication version

publishedVersion

Name

3672608.3707768-1.pdf

Type

Main Article

Size

1.28 MB

Format

Adobe PDF

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Towards solidity smart contract efficiency optimization through code mining