Sarah Nadi
Scholar

Sarah Nadi

Google Scholar ID: PxNO2g8AAAAJ
Associate Professor, New York University Abu Dhabi
Mining Software RepositoriesAPI UsageSoftware ReuseEmpirical Software Engineering
Citations & Impact
All-time
Citations
2,785
 
H-index
25
 
i10-index
41
 
Publications
20
 
Co-authors
31
list available
Resume (English only)
Academic Achievements
  • Published several papers, including:
  • - An evaluation of ChatGPT's impact on students' computational thinking skills (LEARNER 2025)
  • - An empirical study of API misuses of data-centric libraries (ESEM 2024)
  • - Characterizing Python library migrations (ESEC/FSE 2024)
  • - 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.
Miscellany
  • Email: sarah.nadi@nyu.edu
  • Office: Building A1, Office 177