4 citations · 4 across the 2 of their papers we have counts for
3 papers
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…
cs.SE2024★ 4 cited
An Empirical Study on the Code Refactoring Capability of Large Language Models
Jonathan Cordeiro, Shayan Noei, Ying Zou
Large Language Models (LLMs) have shown potential to enhance software development through automated code generation and refactoring, reducing development time and improving code qu…