Newest papers

Towards an Intelligent Decision Engine for Smart Contract Deployment

Oana-Otilia Captarencu, Emanuel Onica, Andrei Arusoaie · 2026 · arXiv (Cornell University)

DOI: 10.48550/arxiv.2610.24198 · cited by 0 works (OpenAlex) · open-access PDF

Chinese

Layer 2(L2)区块链解决方案近年来主要出现在以太坊生态系统中,作为扩展主区块链网络(L1)的可行选项。然而,用于部署支持区块链应用的智能合约的L2解决方案的选择取决于许多因素,如成本、效率、普及性和稳定性。我们在这里提出了一种系统的方法来帮助这一决策过程,通过使用一组相关的指标和引入用户定义的配置文件,这些指标之间捕捉了不同的优先级。我们从社区维护的数据源收集了智能合约的主要类别,并从三个主要L2解决方案中收集了六个月的交易:Arbitrum,Optimism和Base。对于每个合约类别和每个区块链,我们计算了一组针对每个用户配置的指标和分数。通过应用我们的方法

Machine translation (Meta M2M100); the English original follows.

Abstract

Layer 2 (L2) blockchain solutions emerged in recent years, predominantly in the Ethereum ecosystem, as a viable option for scaling a main blockchain network (L1). However, the selection of a L2 solution for deploying smart contracts backing blockchain applications is a decision that depends on many factors, such as costs, efficiency, popularity, and stability. We propose here a systematic methodology to help with this decision making process by using a set of relevant metrics and introducing user-defined profiles that capture different priorities among these metrics. We collect the major categories of smart contracts from a community-maintained data source, and we gather transactions for a six months period from three major L2 solutions: Arbitrum, Optimism, and Base. For each contract category and each blockchain, we compute a set of metrics and scores tailored to each user profile. By applying our methodology, we identify a clear bias in the classification, showing which L2 solutions are better suited for particular application types and user profiles.

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Topics: Computer science, Software deployment, Set (abstract data type), Process (computing), Blockchain, Smart contract

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