works on

From the 1 of 7 linked papers with an AI index.

activity
20242026
collaborators

7 papers

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

The paper empirically examines how the introduction of large language models and AI agents into code review processes affects review speed and quality, analyzing over a million pul…

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…

cs.SE2025

MemoCoder: Automated Function Synthesis using LLM-Supported Agents

Yiping Jia, Zhen Ming Jiang, Shayan Noei +1

With the widespread adoption of Large Language Models (LLMs) such as GitHub Copilot and ChatGPT, developers increasingly rely on AI-assisted tools to support code generation. While…

cs.SE2025

Enhancing COBOL Code Explanations: A Multi-Agents Approach Using Large Language Models

Fangjian Lei, Jiawen Liu, Shayan Noei +3

Common Business Oriented Language (COBOL) is a programming language used to develop business applications that are widely adopted by financial, business, and government agencies. D…