Sarah Nadi

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I am an Associate Professor of Computer Science at New York University Abu Dhabi, where I also serve as the Associate Program Head for Undergraduate Studies in Computer Science. I also hold an adjunct position at the University of Alberta.

I co-direct the SANAD lab 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

May 14, 2024 I'm hiring fully funded PhD students at NYUAD for Fall 2025!
Jan 22, 2024 Our paper on characterizing Python library migration got accepted at FSE’24!
Jan 1, 2024 I joined NYUAD as an Associate Professor!

Selected Publications

  1. ESEC/FSE
    Characterizing Python Library Migrations
    Mohayeminul Islam, Ajay Kumar Jha, Ildar Akhmetov, and Sarah Nadi
    In Proceedings of the ACM International Conference on the Foundations of Software Engineering (FSE), 2024
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  2. 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
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  3. TSE
    Operation-Based Refactoring-Aware Merging: An Empirical Evaluation
    Max Ellis, Sarah Nadi, and Danny Dig
    IEEE Transactions on Software Engineering, 2023
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  4. 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
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  5. EMSE
    Selecting Third-party Libraries: The Data Scientist’s Perspective
    Sarah Nadi, and Nourhan Sakr
    Empirical Software Engineering Journal (EMSE), 2022
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  6. 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
    PDF