Feifei Niu

According to our database, Feifei Niu authored at least 21 papers between 2011 and 2025.

Collaborative distances:

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

2025

When Deep Learning Meets Information Retrieval-based Bug Localization: A Survey.

Feifei Niu, Chuanyi Li, Kui Liu, Xin Xia, David Lo

ACM Comput. Surv., November, 2025

Differential privacy-enabled federated learning for secure neural synchronization in protecting industrial data streams.

Feifei Niu, Arindam Sarkar, Sarbajit Manna, Soumya Chatterjee, Abdulfattah Noorwali, Kamal M. Othman

Clust. Comput., September, 2025

Feature Request Analysis and Processing: Tasks, Techniques, and Trends.

Feifei Niu, Chuanyi Li, Haosheng Zuo, Jionghan Wu, Xin Xia

CoRR, August, 2025

Refactoring ≠ Bug-Inducing: Improving Defect Prediction with Code Change Tactics Analysis.

Feifei Niu, Junqian Shao, Christoph Mayr-Dorn, Liguo Huang, Wesley K. G. Assunção, Chuanyi Li, Jidong Ge, Alexander Egyed

CoRR, July, 2025

Enhancement Report Approval Prediction: A Comparative Study of Large Language Models.

Haosheng Zuo, Feifei Niu, Chuanyi Li

CoRR, June, 2025

Towards Understanding Bugs in Distributed Training and Inference Frameworks for Large Language Models.

Xiao Yu, Haoxuan Chen, Feifei Niu, Xing Hu, Jacky Wai Keung, Xin Xia

CoRR, June, 2025

Requirements Coverage-Guided Minimization for Natural Language Test Cases.

Rongqi Pan, Feifei Niu, Lionel C. Briand, Hanyang Hu

CoRR, May, 2025

Assessing and Advancing Benchmarks for Evaluating Large Language Models in Software Engineering Tasks.

Xing Hu, Feifei Niu, Junkai Chen, Xin Zhou, Junwei Zhang, Junda He, Xin Xia, David Lo

CoRR, May, 2025

TVR: Automotive System Requirement Traceability Validation and Recovery Through Retrieval-Augmented Generation.

Feifei Niu, Rongqi Pan, Lionel C. Briand, Hanyang Hu, Krishna Koravadi

CoRR, April, 2025

2024

An extensive replication study of the ABLoTS approach for bug localization.

Feifei Niu, Enshuo Zhang, Christoph Mayr-Dorn, Wesley Klewerton Guez Assunção, Liguo Huang, Jidong Ge, Bin Luo, Alexander Egyed

Empir. Softw. Eng., November, 2024

What Makes a High-Quality Training Dataset for Large Language Models: A Practitioners' Perspective.

Xiao Yu, Zexian Zhang, Feifei Niu, Xing Hu, Xin Xia, John Grundy

Proceedings of the 39th IEEE/ACM International Conference on Automated Software Engineering, 2024

RAT: A Refactoring-Aware Tool for Tracking Code History.

Feifei Niu, Junqian Shao, Chaofan Xu, Christoph Mayr-Dorn, Wesley K. G. Assunção, Liguo Huang, Chuanyi Li, Jidong Ge, Bin Luo, Alexander Egyed

Proceedings of the 2024 IEEE/ACM 46th International Conference on Software Engineering: Companion Proceedings, 2024

2023

The ABLoTS Approach for Bug Localization: is it replicable and generalizable?

Feifei Niu, Christoph Mayr-Dorn, Wesley K. G. Assunção, LiGuo Huang, Jidong Ge, Bin Luo, Alexander Egyed

Proceedings of the 20th IEEE/ACM International Conference on Mining Software Repositories, 2023

RAT: A Refactoring-Aware Traceability Model for Bug Localization.

Feifei Niu, Wesley K. G. Assunção, LiGuo Huang, Christoph Mayr-Dorn, Jidong Ge, Bin Luo, Alexander Egyed

Proceedings of the 45th IEEE/ACM International Conference on Software Engineering, 2023

2022

Measuring Business Process Behavioral Similarity Based on Token Log Profile.

Feifei Niu, Chuanyi Li, Jidong Ge, Lijie Wen, Zhongjin Li, Bin Luo

IEEE Trans. Serv. Comput., 2022

Design and Construction of a Superconducting Gravimeter Prototype.

Xing Huang, Xinning Hu, Chunyan Cui, Hao Wang, Feifei Niu, Yuan Zhang, Luzhong Wang, Qiuliang Wang, Xinghua Hao, Ming Liu, Xiaodong Chen, Yan Yang

IEEE Trans. Instrum. Meas., 2022

Towards Just-In-Time Feature Request Approval Prediction.

Feifei Niu, Chuanyi Li, Heng Chen, Jidong Ge, Bin Luo

Proceedings of the Internetware 2022: 13th Asia-Pacific Symposium on Internetware, Hohhot, China, June 11, 2022

2021

Process Models for evaluating Process Similarity Algorithms.

Chuanyi Li, Feifei Niu

Dataset, October, 2021

Cloud Technology Dual Data Center Information System Based on Disaster Recovery Platform.

Feifei Niu

Proceedings of the 2021 International Conference on Machine Learning and Big Data Analytics for IoT Security and Privacy, 2021

2015

Obstacle-Avoiding and Slew-Constrained Clock Tree Synthesis With Efficient Buffer Insertion.

Yici Cai, Chao Deng, Qiang Zhou, Hailong Yao, Feifei Niu, Cliff N. Sze

IEEE Trans. Very Large Scale Integr. Syst., 2015

2011

Obstacle-avoiding and slew-constrained buffered clock tree synthesis for skew optimization.

Feifei Niu, Qiang Zhou, Hailong Yao, Yici Cai, Jianlei Yang, Chin Ngai Sze

Proceedings of the 21st ACM Great Lakes Symposium on VLSI 2010, 2011