MUARF: Leveraging Multi-Agent Workflows for Automated Code Refactoring

Refactoring is crucial for maintaining a project, but it requires developers to understand code structure and system design principles well. Recent research on Large Language Models(LLMs) has shown their great capability for handling complex tasks, making them a possible solution for overcoming thes...

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Veröffentlicht in:	Proceedings (IEEE/ACM International Conference on Software Engineering Companion. Online) S. 226 - 227
1. Verfasser:	Xu, Yisen
Format:	Tagungsbericht
Sprache:	Englisch
Veröffentlicht:	IEEE 27.04.2025
Schlagworte:	Code Refactoring Codes Contextual Retrieval-Augmented Generation Few shot learning Large Language Model Large language models Measurement Multi-Agent Communication Prompt engineering Retrieval augmented generation Software engineering System analysis and design
ISSN:	2574-1934
Online-Zugang:	Volltext
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