Jun Lyu is currently a last-year Ph.D. student in the DevOps+ Research Laboratory, supervised by Prof. He (Jason) Zhang, at Nanjing University, China. Jun Lyu was studied in the Trustworthy Engineering of Software Technologies (TEST) Lab at the National University of Singapore, co-supervised by Prof. Manuel Rigger, from 2023 to 2024.

His research interests focus on improving software development efficiency and quality, particularly improving software build efficiency and quality in practice.

🔥 News

• 2024.08:  🎉🎉 Our paper “GPP: A Graph-Powered Prioritizer for Code Review Requests” was accepted by ASE 2024.
• 2024.08:  🎉🎉 Our paper “An Explainable Automated Model for Measuring Software Engineer Contribution” was accepted by ASE 2024.
• 2024.07:  🎉🎉 Our paper “A Preliminary Investigation on Using Multi-Task Learning to Predict Change Performance in Code Reviews” was accepted for publication in Empirical Software Engineering.
• 2024.04:  🎉🎉 Our paper “Towards Efficient Build Ordering for Incremental Builds with Multiple Configurations” was accepted by FSE 2024!
• 2024.03:  🎉🎉 Our paper “Detecting Build Dependency Errors in Incremental Builds” was accepted by ISSTA 2024!

💻 Selected Research Papers

• FSE 2024 Towards Efficient Build Ordering for Incremental Builds with Multiple Configurations, Jun Lyu, Shanshan Li, He Zhang, Lanxin Yang, Bohan Liu, Manuel Rigger.
• ISSTA 2024 Detecting Build Dependency Errors in Incremental Builds, Jun Lyu, Shanshan Li, He Zhang, Yang Zhang, Guoping Rong, Manuel Rigger.
• ASE 2024 GPP: A Graph-Powered Prioritizer for Code Review Requests, Lanxin Yang, Jinwei Xu, He Zhang, Fanghao Wu, Jun Lyu, Yue Li, Alberto Bacchelli
• ASE 2024 An Explainable Automated Model for Measuring Software Engineer Contribution, Yue Li, He Zhang, Yuzhe Jin, Zhong Ren, Liming Dong, Jun Lyu, Lanxin Yang, David Lo, Dong Shao

📖 Educations

• 2020.06 - Now, Ph.D, Nanjing University, Nanjing.

💬 Invited Talks

• 2023.04, Software build quality and efficiency, hosted by Huawei wuhan research institute.