An Empirical Study of Refactoring Rhythms and Tactics in the Software Development Process. - Shayan Noei; Heng Li 007; Stefanos Georgiou; Ying Zou 001 (IEEE Trans. Software Eng., 2023)

An Empirical Study on the Code Refactoring Capability of Large Language Models. - Jonathan Cordeiro; Shayan Noei; Ying Zou 001 (CoRR, 2024)

LLM-Driven Code Refactoring: Opportunities and Limitations. - Jonathan Cordeiro; Shayan Noei; Ying Zou 001 (IDE@ICSE, 2025)

An Empirical Study on Release-Wise Refactoring Patterns. - Shayan Noei; Heng Li 007; Ying Zou 001 (Proc. ACM Softw. Eng., 2025)

Detecting Refactoring Commits in Machine Learning Python Projects: A Machine Learning-Based Approach. - Shayan Noei; Heng Li 007; Ying Zou 001 (ACM Trans. Softw. Eng. Methodol., 2025)

Enhancing COBOL Code Explanations: A Multi-Agents Approach Using Large Language Models. - Fangjian Lei; Jiawen Liu; Shayan Noei; Ying Zou 001; Derek Truong; William Alexander (CoRR, 2025)

Never Come Up Empty: Adaptive HyDE Retrieval for Improving LLM Developer Support. - Fangjian Lei; Mariam El Mezouar; Shayan Noei; Ying Zou 001 (CoRR, 2025)

MemoCoder: Automated Function Synthesis using LLM-Supported Agents. - Yiping Jia; Zhen Ming Jiang; Shayan Noei; Ying Zou 001 (CoRR, 2025)