activity
20162026
most citedMining Valence, Arousal, and Dominance - Possibilities for Detecting Burnout and Productivity?

82 citations · 122 across the 10 of their papers we have counts for

collaborators

10 papers

cs.SE2026

GitSkills: A Dataset of Agent Skills on GitHub

Giuseppe Destefanis, Daniel Graziotin, Matteo Vaccargiu +1

An agent skill is a folder containing a SKILL.md file with instructions for a language-model agent, optionally accompanied by scripts and reference files. The agent loads the skill…

cs.SE2025

Introducing Repository Stability

Giuseppe Destefanis, Silvia Bartolucci, Daniel Graziotin +2

Drawing from engineering systems and control theory, we introduce a framework to understand repository stability, which is a repository activity capacity to return to equilibrium f…

cs.CY2024★ 1 cited

DApps Ecosystems: Mapping the Network Structure of Smart Contract Interactions

Sabrina Aufiero, Giacomo Ibba, Silvia Bartolucci +3

In recent years, decentralized applications (dApps) built on blockchain platforms such as Ethereum and coded in languages such as Solidity, have gained attention for their potentia…

cs.IT2023★ 5 cited

MindTheDApp: A Toolchain for Complex Network-Driven Structural Analysis of Ethereum-based Decentralised Applications

Giacomo Ibba, Sabrina Aufiero, Silvia Bartolucci +4

This paper presents MindTheDApp, a toolchain designed specifically for the structural analysis of Ethereum-based Decentralized Applications (DApps), with a distinct focus on a comp…

cs.SE2023★ 17 cited

A Preliminary Analysis on the Code Generation Capabilities of GPT-3.5 and Bard AI Models for Java Functions

Giuseppe Destefanis, Silvia Bartolucci, Marco Ortu

This paper evaluates the capability of two state-of-the-art artificial intelligence (AI) models, GPT-3.5 and Bard, in generating Java code given a function description. We sourced…

q-fin.ST2021★ 2 cited

On Technical Trading and Social Media Indicators in Cryptocurrencies' Price Classification Through Deep Learning

Marco Ortu, Nicola Uras, Claudio Conversano +2

This work aims to analyse the predictability of price movements of cryptocurrencies on both hourly and daily data observed from January 2017 to January 2021, using deep learning al…