Sarah Nadi

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I am an Associate Professor of Computer Science at New York University Abu Dhabi. I’m currently on leave from the University of Alberta where I hold a Canada Research Chair in Software Reuse.

I lead the Software Maintenance and Reuse (SMR) lab where we design tools and techniques that can help software developers perform their tasks more efficiently and effectively. My research heavily relies on the idea of mining software repositories, where I extract and analyze data from existing software repositories (e.g., version control systems, issue tracking systems, crowd-sourced question/answer websites) to infer insights that can help developers perform their tasks. For more info on my research, please check my research projects and publications.

Email: sarah.nadi@nyu.edu
Office: Building A1, Office 177

Recent News

Jan 1, 2024 I joined NYUAD as an Associate Professor!
Oct 10, 2023 I will be serving as a Software Analytics area chair for ICSE ‘25 in Ottawa, ON, Canada.
Feb 14, 2023 I will be co-chairing ICSME ‘24 in Flagstaff, AZ, US.

Selected Publications

  1. TSE
    An Empirical Evaluation of Using Large Language Models for Automated Unit Test Generation
    Max Schäefer, Sarah Nadi, Aryaz Eghbali, and Frank Tip
    IEEE Transactions on Software Engineering, 2023
  2. TSE
    Operation-Based Refactoring-Aware Merging: An Empirical Evaluation
    Max Ellis, Sarah Nadi, and Danny Dig
    IEEE Transactions on Software Engineering, 2023
  3. MSR
    PyMigBench: A Benchmark for Python Library Migration
    Mohayeminul Islam, Ajay Kumar Jha, Sarah Nadi, and Ildar Akhmetov
    In Proceedings of the 20th ACM International Conference on Mining Software Repositories (MSR) – Data Showcase Track , 2023
  4. EMSE
    Selecting Third-party Libraries: The Data Scientist’s Perspective
    Sarah Nadi, and Nourhan Sakr
    Empirical Software Engineering Journal (EMSE), 2022
  5. ICSME
    Mining Annotation Usage Rules: A Case Study with MicroProfile
    Batyr Nuryyev, Ajay Kumar Jha, Sarah Nadi, Yee-Kang Chang, Emily Jiang, and Vijay Sundaresan
    In Proceedings of the 38th IEEE International Conference on Software Maintenance and Evolution – Industry Track, 2022