- An empirical evaluation of using large language models for automated unit test generation (TSE 2023)
- Operation-based refactoring-aware merging: An empirical evaluation (TSE 2023)
- PyMigBench: A benchmark for Python library migration (MSR 2023)
- Selecting third-party libraries: The data scientist's perspective (EMSE 2022)
Research Experience
Co-directs the SANAD lab, which focuses on developing tools and techniques that can help software developers be more efficient. She has also been involved in multiple research projects.
Background
Associate Professor of Computer Science at New York University Abu Dhabi. Also holds an adjunct position at the University of Alberta. Research interests include designing tools and techniques to help software developers perform their tasks more efficiently, particularly through mining software repositories to extract and analyze data.