most citedAn empirical analysis of vulnerability detection tools for solidity smart contracts

1 citations · 1 across the 2 of their papers we have counts for

collaborators

5 papers

cs.SE20261 cited

An empirical analysis of vulnerability detection tools for solidity smart contracts

Francesco Salzano, Cosmo Kevin Antenucci, Simone Scalabrino +3

The rapid adoption of blockchain technology highlighted the importance of ensuring the security of smart contracts due to their critical role in automated business logic execution…

cs.SE2026

Identifying and Characterizing Semantic Clones of Solidity Functions

Ermanno Francesco Sannini, Francesco Salzano, Simone Scalabrino +4

Smart Contracts are essential blockchain components, mainly written in Solidity. The high availability of public Solidity code leads to frequent reuse and high clone ratios. Since…

cs.SE2026

Human-Agent versus Human Pull Requests: A Testing-Focused Characterization and Comparison

Roberto Milanese, Francesco Salzano, Angelica Spina +4

AI-based coding agents are increasingly integrated into software development workflows, collaborating with developers to create pull requests (PRs). Despite their growing adoption,…

cs.SE2025

Beyond Code Similarity: Benchmarking the Plausibility, Efficiency, and Complexity of LLM-Generated Smart Contracts

Francesco Salzano, Simone Scalabrino, Rocco Oliveto +1

Smart Contracts are critical components of blockchain ecosystems, with Solidity as the dominant programming language. While LLMs excel at general-purpose code generation, the uniqu…

cs.DC2025

Integrating Blockchain technology within an Information Ecosystem

Francesco Salzano, Lodovica Marchesi, Remo Pareschi +1

Context: Blockchain-based Information Ecosystems (BBIEs) are a type of information ecosystem in which blockchain technology is used to provide a trust mechanism among parties and t…