I am a research fellow at the University of Ottawa, working with Prof. Lionel Briand.

I received my Ph.D. in Software Engineering from Nanjing University in 2023, co-supervised by Prof. Bin Luo, Prof. Jidong Ge, and Dr. Chuanyi Li. Since 2022, I have collaborated with Prof. Alexander Egyed, Prof. Liguo Huang, Prof. Wesley K. G. Assunção, and Dr. Christoph Mayr-Dorn on refactoring-based bug localization and defect prediction research. Before that, I received my B.S. in Software Engineering from Tianjin University in 2018.

Contact me at: feifeiniu@gmail.com

Research Interests

Software Quality Assurance, Software Testing, Requirements Engineering, AI4SE

Publications

[2024‘ICSE Demo] Feifei Niu, Junqian Shao, Chaofan Xu, Christoph Mayr-Dorn, Wesley Assunção, Liguo Huang, Chuanyi Li, Jidong Ge, Bin Luo, Alexander Egyed: “RAT: A Refactoring-Aware Tool for Tracking Code History”, in 46th International Conference on Software Engineering (Demonstration), 2024. 🔗

[2024’软件学报] Zongwen Shen, Feifei Niu, Chuanyi Li, Xiang Chen, Qi Li, Jidong Ge, Bin Luo: “融合信息检索和深度模型特征的软件缺陷定位方法”, 软件学报(2023). 🔗

[2023’ICSE] Feifei Niu, Wesley K. G. Assunçao, LiGuo Huang, Christoph Mayr-Dorn, Jidong Ge, Bin Luo, Alexander Egyed: “RAT: A Refactoring-Aware Traceability Model for Bug Localization”, in 45th International Conference on Software Engineering, 2023. 🔗

[2023’MSR 🏆] Feifei Niu, Christoph Mayr-Dorn, Wesley K. G. Assunçao, LiGuo Huang, Jidong Ge, Bin Luo, Alexander Egyed: “The ABLoTS Approach for Bug Localization: is it replicable and generalizable?”, in 20th International Conference on Mining Software Repositories, ACM Distinguished Paper Award, 2023. 🔗

[2023’软件学报] Feifei Niu, Chuanyi Li, Jidong Ge, Bin Luo: “用户特征请求分析与处理研究综述”, 软件学报(2023). 🔗

[2022’TSC] Feifei Niu, Chuanyi Li, Jidong Ge, Lijie Wen, Zhongjin Li, Bin Luo: “Measuring Business Process Behavioral Similarity Based on Token Log Profile”, in IEEE Transactions on Services Computing (2022) pp. 3344–3357. IEEE, 2022. 🔗

[2022’Internetware] Feifei Niu, Chuanyi Li, Heng Chen, Jidong Ge, Bin Luo: “Towards Just-In-Time Feature Request Approval Prediction”, in 13th Asia Pacific Symposium on Internetware, 2022. 🔗

[2021’IIoTBDSC] Feifei Niu, Chuanyi Li, Bin Luo: “A Deep Classifier for Crowdsourcing User Requests”, in Modern Industrial IoT, Big Data and Supply Chain, 2021. 🔗

Patents

Chuanyi Li, Feifei Niu, Jidong Ge. A Token Log based Business Process Model Similarity Measurement. (202110045604.8) (In Chinese)

Chuanyi Li, Jidong Ge, Feifei Niu, Xiaoyu Zhou, Bin Luo. A Framework for Crowdsourcing Software Assets Management and Analysis. (201911048873.9)(In Chinese)

Tools

RAT is a refactoring-aware traceability tool for code history. Welcome to come up with more requests~

Services

Student volunteer at ICSE 2023

Reviewer of TOSEM, JSEP, IEEE Software, ASE Journal, FORGE (2024)