A Comparative Study of Solidity and Sui Move: Advancing Smart Contract Development

The emergence of blockchain technology has resulted in the creation of various blockchain networks and their accompanying programming languages for creating smart contracts. Each smart contract language, with its unique characteristics, advantages, and drawbacks, leverages blockchain technology to create a secure, transparent, and efficient way to execute agreements without the need for intermediaries. In this study, we compared the Solidity language used in the Ethereum blockchain network and Sui Move, which is used for the Sui blockchain network, highlighting contrasting approaches to smart contract development. In this paper, we explore the aspects of both languages, such as their structure, operational models, and security components. By evaluating these factors, the study uncovers the strengths and limitations of each language, highlighting their security and performance features that developers must take into account when choosing a smart contract language to build robust, efficient, and scalable decentralized applications that are addressed at a wide audience. Additionally, the work entails a framework that helps developers transition existing applications built on Solidity to Sui Move and take advantage of Sui Move’s unique characteristics without sacrificing functionality. It is a step-by-step approach to modify data forms, refactor logic processes, and deploy modules as needed while ensuring that migration is smooth and the maximum benefits of the Sui-based blockchain network are achieved. The knowledge and resources offered are designed to enable developers to create more secure, scalable, and efficient decentralized systems.

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Publication Details

Journal
IEEE Access
Published
2025-01-01
DOI
https://doi.org/10.1109/access.2025.3615072
Citations
1
Primary Topic
FinTech, Crowdfunding, Digital Finance
Type
article
Field-Weighted Citation Impact
2.28
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article

A Comparative Study of Solidity and Sui Move: Advancing Smart Contract Development

Stamatis Papangelou, Christos K. Georgiadis, Antonios Giatzis
1 citations
IEEE Access
FinTech, Crowdfunding, Digital Finance
2.28
article

A Comparative Study of Solidity and Sui Move: Advancing Smart Contract Development

Stamatis Papangelou, Christos K. Georgiadis, Antonios Giatzis
article en
1 citations

Abstract

The emergence of blockchain technology has resulted in the creation of various blockchain networks and their accompanying programming languages for creating smart contracts. Each smart contract language, with its unique characteristics, advantages, and drawbacks, leverages blockchain technology to create a secure, transparent, and efficient way to execute agreements without the need for intermediaries. In this study, we compared the Solidity language used in the Ethereum blockchain network and Sui Move, which is used for the Sui blockchain network, highlighting contrasting approaches to smart contract development. In this paper, we explore the aspects of both languages, such as their structure, operational models, and security components. By evaluating these factors, the study uncovers the strengths and limitations of each language, highlighting their security and performance features that developers must take into account when choosing a smart contract language to build robust, efficient, and scalable decentralized applications that are addressed at a wide audience. Additionally, the work entails a framework that helps developers transition existing applications built on Solidity to Sui Move and take advantage of Sui Move’s unique characteristics without sacrificing functionality. It is a step-by-step approach to modify data forms, refactor logic processes, and deploy modules as needed while ensuring that migration is smooth and the maximum benefits of the Sui-based blockchain network are achieved. The knowledge and resources offered are designed to enable developers to create more secure, scalable, and efficient decentralized systems.

IEEE AccessVol. 13
University of Nicosia (CY), University of Macedonia (GR)
Openalex Percentile: Top 9%
FinTech, Crowdfunding, Digital Finance
2.28
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