Hao Li

According to our database, Hao Li authored at least 32 papers between 2022 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

An empirical study of testing practices in open source AI agent frameworks and agentic applications.

Mohammed Mehedi Hasan, Hao Li, Emad Fallahzadeh, Gopi Krishnan Rajbahadur, Bram Adams, Ahmed E. Hassan

Empir. Softw. Eng., September, 2026

Can we recycle our old models? An empirical evaluation of model selection mechanisms for AIOps solutions.

Yingzhe Lyu, Hao Li, Heng Li, Ahmed E. Hassan

Empir. Softw. Eng., July, 2026

Towards Refining Developer Questions Using LLM-Based Named Entity Recognition for Developer Chatroom Conversations.

Pouya Fathollahzadeh, Mariam El Mezouar, Hao Li, Ying Zou, Ahmed E. Hassan

IEEE Trans. Software Eng., April, 2026

Do AI Coding Agents Log Like Humans? An Empirical Study.

Youssef Esseddiq Ouatiti, Mohammed Sayagh, Hao Li, Ahmed E. Hassan

CoRR, April, 2026

Model Context Protocol (MCP) Tool Descriptions Are Smelly! Towards Improving AI Agent Efficiency with Augmented MCP Tool Descriptions.

Mohammed Mehedi Hasan, Hao Li, Gopi Krishnan Rajbahadur, Bram Adams, Ahmed E. Hassan

CoRR, February, 2026

AIDev: Studying AI Coding Agents on GitHub.

Hao Li, Haoxiang Zhang, Ahmed E. Hassan

CoRR, February, 2026

Permissive-Washing in the Open AI Supply Chain: A Large-Scale Audit of License Integrity.

James Jewitt, Gopi Krishnan Rajbahadur, Hao Li, Bram Adams, Ahmed E. Hassan

CoRR, February, 2026

Beyond Blame: Rethinking SZZ with Knowledge Graph Search.

Yu Shi, Hao Li, Bram Adams, Ahmed E. Hassan

CoRR, February, 2026

Understanding Prompt Management in GitHub Repositories: A Call for Best Practices.

Hao Li, Hicham Masri, Filipe Roseiro Côgo, Abdul Ali Bangash, Bram Adams, Ahmed E. Hassan

IEEE Softw., 2026

A systematic literature review of software engineering research on Jupyter notebook.

Md. Saeed Siddik, Hao Li, Cor-Paul Bezemer

J. Syst. Softw., 2026

2025

Agent READMEs: An Empirical Study of Context Files for Agentic Coding.

Worawalan Chatlatanagulchai, Hao Li, Yutaro Kashiwa, Brittany Reid, Kundjanasith Thonglek, Pattara Leelaprute, Arnon Rungsawang, Bundit Manaskasemsak, Bram Adams, Ahmed E. Hassan, Hajimu Iida

CoRR, November, 2025

Agentic Refactoring: An Empirical Study of AI Coding Agents.

Kosei Horikawa, Hao Li, Yutaro Kashiwa, Bram Adams, Hajimu Iida, Ahmed E. Hassan

CoRR, November, 2025

HAFixAgent: History-Aware Automated Program Repair Agent.

Yu Shi, Hao Li, Bram Adams, Ahmed E. Hassan

CoRR, November, 2025

AIDev: Studying AI Coding Agents on GitHub.

Hao Li, Haoxiang Zhang, Ahmed E. Hassan

Dataset, November, 2025

On the Use of Agentic Coding: An Empirical Study of Pull Requests on GitHub.

Miku Watanabe, Hao Li, Yutaro Kashiwa, Brittany Reid, Hajimu Iida, Ahmed E. Hassan

CoRR, September, 2025

From Hugging Face to GitHub: Tracing License Drift in the Open-Source AI Ecosystem.

James Jewitt, Hao Li, Bram Adams, Gopi Krishnan Rajbahadur, Ahmed E. Hassan

CoRR, September, 2025

Agentic Software Engineering: Foundational Pillars and a Research Roadmap.

Ahmed E. Hassan, Hao Li, Dayi Lin, Bram Adams, Tse-Hsun Chen, Yutaro Kashiwa, Dong Qiu

CoRR, September, 2025

AIDev: Studying AI Coding Agents on GitHub.

Hao Li, Haoxiang Zhang, Ahmed E. Hassan

Dataset, August, 2025

AIDev: Studying Coding Agents on GitHub.

Hao Li, Haoxiang Zhang, Ahmed E. Hassan

Dataset, August, 2025

The Rise of AI Teammates in Software Engineering (SE) 3.0: How Autonomous Coding Agents Are Reshaping Software Engineering.

Hao Li, Haoxiang Zhang, Ahmed E. Hassan

CoRR, July, 2025

On the Effect of Token Merging on Pre-trained Models for Code.

Mootez Saad, Hao Li, Tushar Sharma, Ahmed E. Hassan

CoRR, July, 2025

Model Context Protocol (MCP) at First Glance: Studying the Security and Maintainability of MCP Servers.

Mohammed Mehedi Hasan, Hao Li, Emad Fallahzadeh, Gopi Krishnan Rajbahadur, Bram Adams, Ahmed E. Hassan

CoRR, June, 2025

SwarmUpdate: Hierarchical Software Updates and Deep Learning Model Patching for Heterogeneous UAV Swarms.

Lin Geng, Hao Li, Sidney Givigi, Bram Adams

CoRR, March, 2025

Bridging the language gap: an empirical study of bindings for open source machine learning libraries across software package ecosystems.

Hao Li, Cor-Paul Bezemer

Empir. Softw. Eng., February, 2025

Software Engineering and Foundation Models: Insights from Industry Blogs Using a Jury of Foundation Models.

Hao Li, Cor-Paul Bezemer, Ahmed E. Hassan

Dataset, February, 2025

Studying the Impact of TensorFlow and PyTorch Bindings on Machine Learning Software Quality.

Hao Li, Gopi Krishnan Rajbahadur, Cor-Paul Bezemer

ACM Trans. Softw. Eng. Methodol., January, 2025

Software Engineering and Foundation Models: Insights from Industry Blogs Using a Jury of Foundation Models.

Hao Li, Cor-Paul Bezemer, Ahmed E. Hassan

Proceedings of the 47th IEEE/ACM International Conference on Software Engineering: Software Engineering in Practice, 2025

2024

Software Engineering and Foundation Models: Insights from Industry Blogs Using a Jury of Foundation Models.

Hao Li, Cor-Paul Bezemer, Ahmed E. Hassan

Dataset, December, 2024

Bridging the Language Gap: An Empirical Study of Bindings for Open Source Machine Learning Libraries in Software Package Ecosystems.

Hao Li, Cor-Paul Bezemer

Dataset, July, 2024

Keeping Deep Learning Models in Check: A History-Based Approach to Mitigate Overfitting.

Hao Li, Gopi Krishnan Rajbahadur, Dayi Lin, Cor-Paul Bezemer, Zhen Ming Jiang

IEEE Access, 2024

2023

An Empirical Study of Yanked Releases in the Rust Package Registry.

Hao Li, Filipe Roseiro Côgo, Cor-Paul Bezemer

IEEE Trans. Software Eng., 2023

2022

Studying Popular Open Source Machine Learning Libraries and Their Cross-Ecosystem Bindings.

Hao Li, Cor-Paul Bezemer

CoRR, 2022