Sarah Nadi

Sarah Nadi

University of Alberta

H-index: 26

North America-Canada

About Sarah Nadi

Sarah Nadi, With an exceptional h-index of 26 and a recent h-index of 22 (since 2020), a distinguished researcher at University of Alberta, specializes in the field of Mining Software Repositories, Variability Analysis, Code Recommenders & API Usage, Software Merging.

His recent articles reflect a diverse array of research interests and contributions to the field:

Analyzing Developer Use of ChatGPT Generated Code in Open Source GitHub Projects

PyMigBench: A Benchmark for Python Library Migration

A Data Set of Generalizable Python Code Change Patterns

An empirical evaluation of using large language models for automated unit test generation

JTestMigBench and JTestMigTax: A benchmark and taxonomy for unit test migration

Securing Your Crypto-API Usage Through Tool Support-A Usability Study

Adaptive test generation using a large language model

An empirical study on bugs inside PyTorch: A replication study

Sarah Nadi Information

University

Position

Assistant Professor

Citations(all)

2394

Citations(since 2020)

1710

Cited By

1276

hIndex(all)

26

hIndex(since 2020)

22

i10Index(all)

42

i10Index(since 2020)

37

Email

University Profile Page

University of Alberta

Google Scholar

View Google Scholar Profile

Sarah Nadi Skills & Research Interests

Mining Software Repositories

Variability Analysis

Code Recommenders & API Usage

Software Merging

Top articles of Sarah Nadi

Title

Journal

Author(s)

Publication Date

Analyzing Developer Use of ChatGPT Generated Code in Open Source GitHub Projects

Balreet Grewal

Wentao Lu

Sarah Nadi

Cor-Paul Bezemer

2024

PyMigBench: A Benchmark for Python Library Migration

Mohayeminul Islam

Ajay Kumar Jha

Sarah Nadi

Ildar Akhmetov

2023/5/15

A Data Set of Generalizable Python Code Change Patterns

arXiv preprint arXiv:2304.04983

Akalanka Galappaththi

Sarah Nadi

2023/4/11

An empirical evaluation of using large language models for automated unit test generation

IEEE Transactions on Software Engineering

M Schäfer

S Nadi

A Eghbali

F Tip

2023

JTestMigBench and JTestMigTax: A benchmark and taxonomy for unit test migration

Ajay Kumar Jha

Mohayeminul Islam

Sarah Nadi

2023/3/21

Securing Your Crypto-API Usage Through Tool Support-A Usability Study

Stefan Krüger

Michael Reif

Anna-Katharina Wickert

Sarah Nadi

Karim Ali

...

2023/10/18

Adaptive test generation using a large language model

arXiv e-prints

Max Schäfer

Sarah Nadi

Aryaz Eghbali

Frank Tip

2023/2

An empirical study on bugs inside PyTorch: A replication study

Sharon Chee Yin Ho

Vahid Majdinasab

Mohayeminul Islam

Diego Elias Costa

Emad Shihab

...

2023/10/1

Selecting third-party libraries: the data scientist’s perspective

Empirical Software Engineering

Sarah Nadi

Nourhan Sakr

2023/1

Evaluating software documentation quality

Henry Tang

Sarah Nadi

2023/5/15

Reuse and maintenance practices among divergent forks in three software ecosystems

Empirical Software Engineering

John Businge

Moses Openja

Sarah Nadi

Thorsten Berger

2022/3

Operation-based refactoring-aware merging: An empirical evaluation

IEEE Transactions on Software Engineering

Max Ellis

Sarah Nadi

Danny Dig

2022/12/30

Message from the MSR 2022 Shadow PC Track Co-Chairs

Proceedings-2022 Mining Software Repositories Conference, MSR 2022

Eleni Constantinou

Sarah Nadi

Ayushi Rastogi

Alexander Serebrenik

2022

Mining Annotation Usage Rules: A Case Study with MicroProfile

Batyr Nuryyev

Ajay Kumar Jha

Sarah Nadi

Yee-Kang Chang

Emily Jiang

...

2022/10/3

PyMigBench and PyMigTax: A benchmark and taxonomy for Python library migration

arXiv preprint arXiv:2207.01124

Mohayeminul Islam

Ajay Kumar Jha

Sarah Nadi

2022/7

An empirical evaluation of GitHub copilot's code suggestions

Nhan Nguyen

Sarah Nadi

2022/5/23

Does this apply to me? An empirical study of technical context in Stack Overflow

Akalanka Galappaththi

Sarah Nadi

Christoph Treude

2022/5/23

Configfix: interactive configuration conflict resolution for the linux kernel

Patrick Franz

Thorsten Berger

Ibrahim Fayaz

Sarah Nadi

Evgeny Groshev

2021/5/25

FACER: An API usage-based code-example recommender for opportunistic reuse

Empirical Software Engineering

Shamsa Abid

Shafay Shamail

Hamid Abdul Basit

Sarah Nadi

2021/11

On using Stack Overflow comment-edit pairs to recommend code maintenance changes

Empirical Software Engineering

Henry Tang

Sarah Nadi

2021/7

See List of Professors in Sarah Nadi University(University of Alberta)

Co-Authors

H-index: 69
Christian Kästner

Christian Kästner

Carnegie Mellon University

H-index: 58
Mira Mezini

Mira Mezini

Technische Universität Darmstadt

H-index: 46
Thorsten Berger

Thorsten Berger

Ruhr-Universität Bochum

H-index: 25
Hadi Hemmati

Hadi Hemmati

University of Calgary

H-index: 24
Márcio Ribeiro

Márcio Ribeiro

Universidade Federal de Alagoas

H-index: 22
Olga Baysal

Olga Baysal

Carleton University

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