3 papers
cs.SE2026
An Evaluation of Role-Based Multi-Agent Code Generation on Repository-Scale Problems
Benedetta Donato, Noah Hagar-Dent, Aaron Worsnop +2
Role-based multiagent code generation aims to make LLMs more effective on repository-scale problems, moving beyond small programming tasks. We evaluate this approach on 12 Java rep…
cs.SE2025
MultiMind: A Plug-in for the Implementation of Development Tasks Aided by AI Assistants
Benedetta Donato, Leonardo Mariani, Daniela Micucci +2
The integration of AI assistants into software development workflows is rapidly evolving, shifting from automation-assisted tasks to collaborative interactions between developers a…
cs.SE2025
Studying How Configurations Impact Code Generation in LLMs: the Case of ChatGPT
Benedetta Donato, Leonardo Mariani, Daniela Micucci +1
Leveraging LLMs for code generation is becoming increasingly common, as tools like ChatGPT can suggest method implementations with minimal input, such as a method signature and bri…