activity
20242026
most citedAn Empirical Study on the Code Refactoring Capability of Large Language Models

4 citations · 4 across the 9 of their papers we have counts for

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5 papers · 1 filter

cs.SE2026

LabelMate: An LLM-Driven Framework for Refined Issue Report Labeling

Liam Johnston, Shayan Noei, Maram Assi +1

Software users often submit issue reports to a product's issue tracking system to report defects, suggest enhancements, or raise other product-related concerns. Labeling these issu…

cs.SE2026

RefactorAssist: Agentic Refinement for Reliable Code Refactoring

Jonathan Cordeiro, Shayan Noei, Ying Zou

Code refactoring aims to enhance the internal structure of source code without affecting its functional behavior. The recent advancements of Large Language Models (LLMs) have demon…

cs.SE2026

From Human-Centric to Agentic Code Review: The Impact of Different Generations of Generative AI Technology on Review Quality

Suzhen Zhong, Shayan Noei, Bram Adams +1

Code review helps maintain software quality before code integration, but it also imposes a substantial workload on human reviewers. As generative artificial intelligence becomes pa…

cs.SE2026

Human-AI Synergy in Agentic Code Review

Suzhen Zhong, Shayan Noei, Ying Zou +1

Code review is a critical software engineering practice where developers review code changes before integration to ensure code quality, detect defects, and improve maintainability.…

cs.SE2026

An Empirical Analysis of Community and Coding Patterns in OSS4SG vs. Conventional OSS

Mohamed Ouf, Shayan Noei, Zeph Van Iterson +2

Open Source Software for Social Good (OSS4SG) projects aim to address critical societal challenges, such as healthcare access and community safety. Understanding the community dyna…