Assistant Professor at TU Graz
Research: Software Quality Assurance | Requirements Engineering | Testing | LLM4SE | SE4LLM
Hiring: I currently have an open PhD position available starting in 2026. Applicants with strong programming skills and a passion for Software Engineering, LLMs, and AI are warmly encouraged to apply.
📅 Application deadline: August 31, 2026
🔗 Apply now: https://jobs.tugraz.at/en/jobs/1793076c-28d1-4ede-9af3-671bb2dc0978
Email: feifeiniu96 AT gmail.com
06/2026~now, Graz University of Technology, Assistant Professor
04/2024~04/2026, University of Ottawa, Research Fellow at Nanda Lab with Prof. Lionel C. Briand
09/2018~12/2023, Nanjing University, PhD student in Software Engineering under the supervision of Prof. Bin Luo, Prof. Jidong Ge, and Prof. Chuanyi Li
01/2022~01/2023, Johannes Kepler University Linz, visiting student at ISSE under the supervision of Prof. Alexander Egyed, Prof. Liguo Huang, Prof. Wesley K. G. Assunção, and Dr. Christoph Mayr-Dorn
09/2014~06/2018, Tianjin University, Bachelor's student in Software Engineering
2026
[TOSEM] Feifei Niu, Chuanyi Li, Haosheng Zuo, Jionghan Wu, Xin Xia: “Feature Request Analysis and Processing: Tasks, Techniques, and Trends”, in ACM Transactions on Software Engineering and Methodology, 2026.🔗
[TOSEM] Rongqi Pan, Feifei Niu*, Lionel C Briand, Hanyang Hu: “Requirements Coverage-Guided Minimization for Natural Language Test Cases”, in ACM Transactions on Software Engineering and Methodology, 2026.🔗
[Internetware] Jiachen Ge, Feifei Niu, Chuanyi Li, Xin Xia: “Exploring Large Language Models for Security Bug Localization: An Empirical Study”, in 17th International Conference on Internetware, 2026, just accepted.
[BCRA] Xiaoting Zhang, Zhipeng Gao, Yiran Lv, Xing Hu, Feifei Niu, Xin Xia: “On the Shoulders of Giants: Empowering Automated Smart Contract Auditing via the GiAnt Corpus”, in BCRA.
2025
[TOSEM] Xing Hu, Feifei Niu*, Junkai Chen, Xin Zhou, Junwei Zhang, Junda He, Xin Xia, David Lo: “Assessing and Advancing Benchmarks for Evaluating Large Language Models in Software Engineering Tasks”, in ACM Transactions on Software Engineering and Methodology, 2025.🔗
[CSUR] Feifei Niu, Chuanyi Li, Kui Liu, Xin Xia, David Lo: “When Deep Learning Meets Information Retrieval-based Bug Localization: A Survey”, in ACM Computing Surveys, 2025.🔗
[ISSRE] Feifei Niu*, Junqian Shao, Christoph Mayr-Dorn, Liguo Huang, Wesley K. G. Assunção, Chuanyi Li, Jidong Ge, Alexander Egyed: “Refactoring ≠ Bug-Inducing: Improving Defect Prediction with Code Change Tactics Analysis”, in 36th IEEE International Symposium on Software Reliability Engineering, 2025.🔗
[JSEP] Feifei Niu, Chuanyi Li, Heng Chen, Jidong Ge, Bin Luo, Alexander Egyed: “Utilizing Creator Profiles for Predicting Valuable User Enhancement Reports”, in Journal of Software: Evolution and Process, 2025. 🔗
[Internetware] Haosheng Zuo, Feifei Niu, Chuanyi Li: “Enhancement Report Approval Prediction: A Comparative Study of Large Language Models”, in 16th International Conference on Internetware, 2025.🔗
2024
[EMSE] Feifei Niu*, Enshuo Zhang, Christoph Mayr-Dorn, Wesley K. G. Assunçao, LiGuo Huang, Jidong Ge, Bin Luo, Alexander Egyed: “An Extensive Replication Study of the ABLoTS Approach for Bug Localization”, in Empirical Software Engineering, 29(6), 143, 2024.🔗
[ASE] Xiao Yu, Zexian Zhang, Feifei Niu*, Xing Hu, Xin Xia, John Grundy: “What Makes a High-Quality Training Dataset for Large Language Models: A Practitioners’ Perspective”, in 39th International Conference on Automated Software Engineering, 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. 🔗
[Journal of Software] Zongwen Shen, Feifei Niu, Chuanyi Li, Xiang Chen, Qi Li, Jidong Ge, Bin Luo: “Two-Stage Bug Location Method Combining Information Retrieval and Deep Model Features”, Journal of Software (in Chinese), 2024. 🔗
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. 🔗
[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. 🔗
[Journal of Software] Feifei Niu, Chuanyi Li, Jidong Ge, Bin Luo: “Survey on User Feature Requests Analysis and Processing”, Journal of Software (in Chinese), 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. 🔗
[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. 🔗
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)
2nd AI Foundation Models and Software Engineering (FORGE 2025): Local Arrangements Co-Chair & Social Media Co-Chair & Session Chair
1st AI Foundation Models and Software Engineering (FORGE 2024): Session Chair
45th IEEE/ACM International Conference on Software Engineering (ICSE 2023) - student volunteer
ACM International Conference on the Foundations of Software Engineering (FSE 2027) - Research Track
49th International Conference on Software Engineering (ICSE 2027) - Research Track
41st IEEE/ACM International Conference on Automated Software Engineering (ASE 2026) - Research Track
41st IEEE/ACM International Conference on Automated Software Engineering (ASE 2026) - Industry Showcase
48th International Conference on Software Engineering (ICSE 2026) - Research Track
35th ACM SIGSOFT International Symposium on Software Testing and Analysis (ISSTA 2026) - Research Track
30th International Conference on Evaluation and Assessment in Software Engineering (EASE 2026) - Research Track
42nd IEEE International Conference on Software Maintenance and Evolution (ICSME 2026) - Research Track
23rd International Conference on Mining Software Repositories (MSR 2026) - Data and Tool Showcase Track
40th IEEE/ACM International Conference on Automated Software Engineering (ASE 2025) - Research Track
40th IEEE/ACM International Conference on Automated Software Engineering (ASE 2025) - Industry Showcase
22nd International Conference on Mining Software Repositories (MSR 2025) - Junior PC-track
22nd International Conference on Mining Software Repositories (MSR 2025) - Data and Tool Showcase Track
32nd IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER 2025) - Industrial Track
ChinaSoft 2024 - Foundation Models for Software Engineering Track
1st AI Foundation Models and Software Engineering (FORGE 2024) - Research Track
ACM Transactions on Software Engineering and Methodology (TOSEM)
Journal of Software: Practice and Experience (JSPE)
IEEE Software
Automated Software Engineering Journal (ASEJ)
Empirical Software Engineering (EMSE)