Feifei Niu - RankMe

26 papers A* 2A 2Journal 17Unranked 5

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Automating the Detection of Requirement Dependencies Using Large Language Models. CoRR Ikram Darif, Feifei Niu, Manel Abdellatif, Lionel C. Briand, S. Ramesh, Arun Adiththan
2026	J	`jnl`	Unknown Attack Detection in IoT Networks using Large Language Models: A Robust, Data-efficient Approach. CoRR Shan Ali, Feifei Niu, Paria Shirani, Lionel C. Briand
2025	J	`jnl`	Assessing and Advancing Benchmarks for Evaluating Large Language Models in Software Engineering Tasks. CoRR Xing Hu, Feifei Niu, Junkai Chen, Xin Zhou, Junwei Zhang, Junda He, Xin Xia, David Lo
2025	J	`jnl`	Differential privacy-enabled federated learning for secure neural synchronization in protecting industrial data streams. Clust. Comput. Feifei Niu, Arindam Sarkar, Sarbajit Manna, Soumya Chatterjee, Abdulfattah Noorwali, Kamal M. Othman
2025	—	`conf`	Enhancement Report Approval Prediction: A Comparative Study of Large Language Models. Internetware Haosheng Zuo, Feifei Niu, Chuanyi Li
2025	J	`jnl`	Enhancement Report Approval Prediction: A Comparative Study of Large Language Models. CoRR Haosheng Zuo, Feifei Niu, Chuanyi Li
2025	J	`jnl`	Feature Request Analysis and Processing: Tasks, Techniques, and Trends. CoRR Feifei Niu, Chuanyi Li, Haosheng Zuo, Jionghan Wu, Xin Xia
2025	A	`conf`	Refactoring ≠ Bug-Inducing: Improving Defect Prediction with Code Change Tactics Analysis. ISSRE Feifei Niu, Junqian Shao, Christoph Mayr-Dorn, Liguo Huang, Wesley K. G. Assunção, Chuanyi Li, Jidong Ge, Alexander Egyed
2025	J	`jnl`	Refactoring ≠ Bug-Inducing: Improving Defect Prediction with Code Change Tactics Analysis. CoRR Feifei Niu, Junqian Shao, Christoph Mayr-Dorn, Liguo Huang, Wesley K. G. Assunção, Chuanyi Li, Jidong Ge, Alexander Egyed
2025	J	`jnl`	Requirements Coverage-Guided Minimization for Natural Language Test Cases. CoRR Rongqi Pan, Feifei Niu, Lionel C. Briand, Hanyang Hu
2025	J	`jnl`	TVR: Automotive System Requirement Traceability Validation and Recovery Through Retrieval-Augmented Generation. CoRR Feifei Niu, Rongqi Pan, Lionel C. Briand, Hanyang Hu, Krishna Koravadi
2025	J	`jnl`	Towards Understanding Bugs in Distributed Training and Inference Frameworks for Large Language Models. CoRR Xiao Yu, Haoxuan Chen, Feifei Niu, Xing Hu, Jacky Wai Keung, Xin Xia
2025	J	`jnl`	Utilizing Creator Profiles for Predicting Valuable User Enhancement Reports. J. Softw. Evol. Process. Feifei Niu, Chuanyi Li, Heng Chen, Jidong Ge, Bin Luo, Alexander Egyed
2025	J	`jnl`	When Deep Learning Meets Information Retrieval-based Bug Localization: A Survey. CoRR Feifei Niu, Chuanyi Li, Kui Liu, Xin Xia, David Lo
2025	J	`jnl`	When Deep Learning Meets Information Retrieval-based Bug Localization: A Survey. ACM Comput. Surv. Feifei Niu, Chuanyi Li, Kui Liu, Xin Xia, David Lo
2024	J	`jnl`	An extensive replication study of the ABLoTS approach for bug localization. Empir. Softw. Eng. Feifei Niu, Enshuo Zhang, Christoph Mayr-Dorn, Wesley Klewerton Guez Assunção, Liguo Huang, Jidong Ge, Bin Luo, Alexander Egyed
2024	—	`conf`	RAT: A Refactoring-Aware Tool for Tracking Code History. ICSE Companion Feifei Niu, Junqian Shao, Chaofan Xu, Christoph Mayr-Dorn, Wesley K. G. Assunção, Liguo Huang, Chuanyi Li, Jidong Ge, Bin Luo, Alexander Egyed
2024	A*	`conf`	What Makes a High-Quality Training Dataset for Large Language Models: A Practitioners' Perspective. ASE Xiao Yu, Zexian Zhang, Feifei Niu, Xing Hu, Xin Xia, John Grundy
2023	A*	`conf`	RAT: A Refactoring-Aware Traceability Model for Bug Localization. ICSE Feifei Niu, Wesley K. G. Assunção, Liguo Huang, Christoph Mayr-Dorn, Jidong Ge, Bin Luo, Alexander Egyed
2023	A	`conf`	The ABLoTS Approach for Bug Localization: is it replicable and generalizable? MSR Feifei Niu, Christoph Mayr-Dorn, Wesley K. G. Assunção, Liguo Huang, Jidong Ge, Bin Luo, Alexander Egyed
2022	J	`jnl`	Design and Construction of a Superconducting Gravimeter Prototype. IEEE Trans. Instrum. Meas. Xing Huang, Xinning Hu, Chunyan Cui, Hao Wang, Feifei Niu, Yuan Zhang, Luzhong Wang, Qiuliang Wang, Xinghua Hao, Ming Liu, Xiaodong Chen, Yan Yang
2022	J	`jnl`	Measuring Business Process Behavioral Similarity Based on Token Log Profile. IEEE Trans. Serv. Comput. Feifei Niu, Chuanyi Li, Jidong Ge, Lijie Wen, Zhongjin Li, Bin Luo
2022	—	`conf`	Towards Just-In-Time Feature Request Approval Prediction. Internetware Feifei Niu, Chuanyi Li, Heng Chen, Jidong Ge, Bin Luo
2021	—	`conf`	Cloud Technology Dual Data Center Information System Based on Disaster Recovery Platform. SPIoT (1) Feifei Niu
2015	J	`jnl`	Obstacle-Avoiding and Slew-Constrained Clock Tree Synthesis With Efficient Buffer Insertion. IEEE Trans. Very Large Scale Integr. Syst. Yici Cai, Chao Deng, Qiang Zhou, Hailong Yao, Feifei Niu, Cliff N. Sze
2011	—	`conf`	Obstacle-avoiding and slew-constrained buffered clock tree synthesis for skew optimization. ACM Great Lakes Symposium on VLSI Feifei Niu, Qiang Zhou, Hailong Yao, Yici Cai, Jianlei Yang, Chin Ngai Sze