Meiyappan Nagappan

Meiyappan Nagappan

University of Waterloo

H-index: 38

North America-Canada

About Meiyappan Nagappan

Meiyappan Nagappan, With an exceptional h-index of 38 and a recent h-index of 32 (since 2020), a distinguished researcher at University of Waterloo, specializes in the field of Software Engineering, App Market Analytics, Mining Software Repositories, Software Metrics, Log File Analysis.

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

A User-centered Security Evaluation of Copilot

Diversity in issue assignment: humans vs bots

Test-Driven Development for Code Generation

Fuzzslice: Pruning false positives in static analysis warnings through function-level fuzzing

Statically Detecting Buffer Overflow in Cross-language Android Applications Written in Java and C/C++

An empirical comparison of ethnic and gender diversity of DevOps and non-DevOps contributions to open-source projects

Unveiling the Relationship Between Continuous Integration and Code Coverage

Is github’s copilot as bad as humans at introducing vulnerabilities in code?

Meiyappan Nagappan Information

University

Position

Associate Professor

Citations(all)

5321

Citations(since 2020)

3087

Cited By

3489

hIndex(all)

38

hIndex(since 2020)

32

i10Index(all)

68

i10Index(since 2020)

58

Email

University Profile Page

University of Waterloo

Google Scholar

View Google Scholar Profile

Meiyappan Nagappan Skills & Research Interests

Software Engineering

App Market Analytics

Mining Software Repositories

Software Metrics

Log File Analysis

Top articles of Meiyappan Nagappan

Title

Journal

Author(s)

Publication Date

A User-centered Security Evaluation of Copilot

Owura Asare

Meiyappan Nagappan

N Asokan

2024/4/12

Diversity in issue assignment: humans vs bots

Empirical Software Engineering

Aniruddhan Murali*

Gaurav Sahu*

Kishanthan Thangarajah

Brian Zimmerman

Gema Rodríguez-Pérez

...

2024/4

Test-Driven Development for Code Generation

arXiv preprint arXiv:2402.13521

Noble Saji Mathews

Meiyappan Nagappan

2024/2/21

Fuzzslice: Pruning false positives in static analysis warnings through function-level fuzzing

Aniruddhan Murali

Noble Mathews

Mahmoud Alfadel

Meiyappan Nagappan

Meng Xu

2024/2/6

Statically Detecting Buffer Overflow in Cross-language Android Applications Written in Java and C/C++

arXiv preprint arXiv:2305.10233

Kishanthan Thangarajah

Noble Mathews

Michael Pu

Meiyappan Nagappan

Yousra Aafer

...

2023/5/17

An empirical comparison of ethnic and gender diversity of DevOps and non-DevOps contributions to open-source projects

Empirical Software Engineering

Nimmi Rashinika Weeraddana

Xiaoyan Xu

Mahmoud Alfadel

Shane McIntosh

Meiyappan Nagappan

2023/11

Unveiling the Relationship Between Continuous Integration and Code Coverage

Diego Saraiva

Daniel Alencar Da Costa

Uirá Kulesza

Gustavo Sizílio

José Gameleira Neto

...

2023/5/15

Is github’s copilot as bad as humans at introducing vulnerabilities in code?

Empirical Software Engineering

Owura Asare

Meiyappan Nagappan

N Asokan

2023/11

Measuring the runtime performance of code produced with github copilot

arXiv preprint arXiv:2305.06439

Daniel Erhabor

Sreeharsha Udayashankar

Meiyappan Nagappan

Samer Al-Kiswany

2023/5/10

Diversity in Software Engineering Conferences and Journals

arXiv preprint arXiv:2310.16132

Aditya Shankar Narayanan

Dheeraj Vagavolu

Nancy A Day

Meiyappan Nagappan

2023/10/24

RLocator: Reinforcement Learning for Bug Localization

arXiv preprint arXiv:2305.05586

Partha Chakraborty

Mahmoud Alfadel

Meiyappan Nagappan

2023/5/9

Copilot security: A user study

arXiv e-prints

Owura Asare

Meiyappan Nagappan

N Asokan

2023/8

Bash in the wild: language usage, code smells, and bugs

ACM Transactions on Software Engineering and Methodology

Yiwen Dong

Zheyang Li

Yongqiang Tian

Chengnian Sun

Michael W Godfrey

...

2023/2/13

Relationship between diversity of collaborative group members’ race and ethnicity and the frequency of their collaborative contributions in GitHub

Empirical Software Engineering

Sheik Shameer

Gema Rodríguez-Pérez

Meiyappan Nagappan

2023/7

RepoQuester: A Tool Towards Evaluating GitHub Projects

Kowndinya Boyalakuntla

Meiyappan Nagappan

Sridhar Chimalakonda

Nuthan Munaiah

2022/10/3

Apachejit: A large dataset for just-in-time defect prediction

Hossein Keshavarz

Meiyappan Nagappan

2022/5/23

Towards Understanding Barriers and Mitigation Strategies of Software Engineers with Non-traditional Educational and Occupational Backgrounds

arXiv preprint arXiv:2204.04318

Tavian Barnes

Ken Jen Lee

Cristina Tavares

Gema Rodríguez-Pérez

Meiyappan Nagappan

2022/4/8

Perceived diversity in software engineering: a systematic literature review

Gema Rodríguez-Pérez

Reza Nadri

Meiyappan Nagappan

2021/9

On the relationship between the developer’s perceptible race and ethnicity and the evaluation of contributions in oss

IEEE Transactions on Software Engineering

Reza Nadri

Gema Rodríguez-Pérez

Meiyappan Nagappan

2021/4/16

Insights into nonmerged pull requests in github: Is there evidence of bias based on perceptible race?

IEEE Softw.

Reza Nadri

Gema Rodriguez-Perez

Meiyappan Nagappan

2021/3/1

See List of Professors in Meiyappan Nagappan University(University of Waterloo)

Co-Authors

H-index: 95
David Lo

David Lo

Singapore Management University

H-index: 62
Bram Adams

Bram Adams

Queen's University

H-index: 50
Emad Shihab

Emad Shihab

Concordia University

H-index: 48
Jesse Hoey

Jesse Hoey

University of Waterloo

H-index: 46
Thorsten Berger

Thorsten Berger

Ruhr-Universität Bochum

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