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從合同到代碼:使用多級有限狀態機自動生成智能合約

2507.16276v1

中文标题#

從合同到代碼:使用多級有限狀態機自動生成智能合約

英文标题#

From Contracts to Code: Automating Smart Contract Generation with Multi-Level Finite State Machines

中文摘要#

在日益複雜的合同環境中,對透明度、安全性和效率的需求變得更加迫切。 區塊鏈技術憑藉其去中心化和不可篡改的特性,通過降低中介成本、減少欺詐風險和提高系統兼容性來應對這些挑戰。 智能合約最初由尼克・薩博提出,並後來在以太坊區塊鏈上實現,它們自動化並保障合同條款,為各個行業提供了一個強大的解決方案。 然而,其複雜性以及對高級編程技能的要求構成了廣泛採用的重大障礙。 本研究介紹了一種多級有限狀態機模型,旨在表示和跟蹤智能合約的執行。 我們的模型旨在通過提供一個形式化的框架來簡化智能合約開發,該框架抽象了底層的技術複雜性,使其對沒有深厚技術專業知識的專業人士也易於使用。 多級有限狀態機的分層結構增強了合同的模塊化和可追溯性,有助於對功能屬性進行詳細表示和評估。 本文探討了這種多級方法的潛力,回顧了現有方法和工具,並詳細說明了智能合約生成過程,重點強調了可重用組件和模塊化。 我們還進行了安全分析,以評估模型中的潛在漏洞,確保生成的智能合約的穩健性和可靠性。

英文摘要#

In an increasingly complex contractual landscape, the demand for transparency, security, and efficiency has intensified. Blockchain technology, with its decentralized and immutable nature, addresses these challenges by reducing intermediary costs, minimizing fraud risks, and enhancing system compatibility. Smart contracts, initially conceptualized by Nick Szabo and later implemented on the Ethereum blockchain, automate and secure contractual clauses, offering a robust solution for various industries. However, their complexity and the requirement for advanced programming skills present significant barriers to widespread adoption. This study introduces a multi-level finite state machine model designed to represent and track the execution of smart contracts. Our model aims to simplify smart contract development by providing a formalized framework that abstracts underlying technical complexities, making it accessible to professionals without deep technical expertise. The hierarchical structure of the multi-level finite state machine enhances contract modularity and traceability, facilitating detailed representation and evaluation of functional properties. The paper explores the potential of this multi-level approach, reviewing existing methodologies and tools, and detailing the smart contract generation process with an emphasis on reusable components and modularity. We also conduct a security analysis to evaluate potential vulnerabilities in our model, ensuring the robustness and reliability of the generated smart contracts.

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