Towards an Intelligent Decision Engine for Smart Contract Deployment

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.

Software Engineering (cs.SE); Artificial Intelligence (cs.AI); Cryptography and Security (cs.CR)

arXiv:2610.24198 [cs.SE]

(or arXiv:2610.24198v1 [cs.SE] for this version)

https://doi.org/10.48550/arXiv.2610.24198 Focus to learn more arXiv-issued DOI via DataCite

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