Feifei Niu

Feifei Niu is a Research Fellow at the University of Ottawa, Canada, specializing in software engineering research. She earned her Ph.D. from Nanjing University in 2023 and actively contributes to top-tier conferences including ASE, ICSE, and Mining Software Repositories.

Education

• Ph.D., Nanjing University (2023)

Her research centers on software quality assurance, testing methodologies, and requirements engineering, with recent emphasis on large language model applications for bug tracking and dataset curation. She develops refactoring-aware tools and conducts empirical studies on bug localization techniques.

Publications from 2023-2025 reveal a strong focus on empirical validation of software engineering practices, particularly replication studies in bug localization and LLM-driven solutions for software maintenance challenges. Key themes include traceability modeling, dataset quality assessment, and tool development for code history analysis.

She serves on program committees for ASE 2025 (Research Papers and Industry Showcase tracks) and ICSE 2026, and has chaired sessions at FORGE 2024-2025. Her GitHub profile shows 17 repositories covering replication studies, IoT protocols, and traceability models.