1 citations · 1 across the 5 of their papers we have counts for
5 papers
AIGen: Automating AI Bill of Materials Generation Through Hybrid MLOps Integration
Federica Pepe, Daniele Bifolco, Costantino Martignetti +4
The responsible development and deployment of artificial intelligence (AI) systems requires rigorous documentation of their constituent artifacts, e.g., datasets, model weights, tr…
Writing Bug Reports for Software Repair Agents: What Information Matters Most?
Vincenzo Luigi Bruno, Alessandro Giagnorio, Daniele Bifolco +3
Software development is increasingly moving toward agentic-first workflows. This includes AI agents responsible for generating initial fixes for submitted issue reports. In this se…
Machine Learning in the Wild: Early Evidence of Non-Compliant ML-Automation in Open-Source Software
Zohaib Arshid, Daniele Bifolco, Fiorella Zampetti +1
The increasing availability of Machine Learning (ML) models, particularly foundation models, enables their use across a range of downstream applications, from scenarios with missin…
CodeGenLink: A Tool to Find the Likely Origin and License of Automatically Generated Code
Daniele Bifolco, Guido Annicchiarico, Pierluigi Barbiero +2
Large Language Models (LLMs) are widely used in software development tasks nowadays. Unlike reusing code taken from the Web, for LLMs' generated code, developers are concerned abou…
Do LLMs Provide Links to Code Similar to what they Generate? A Study with Gemini and Bing CoPilot
Daniele Bifolco, Pietro Cassieri, Giuseppe Scanniello +2
Large Language Models (LLMs) are currently used for various software development tasks, including generating code snippets to solve specific problems. Unlike reuse from the Web, LL…