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Meiyappan Nagappan
PeerJ Author & Reviewer
105 Points

Contributions by role

Preprint Author 70
Reviewer 35

Contributions by subject area

Data Mining and Machine Learning
Software Engineering
Data Science
Social Computing
Programming Languages

Meiyappan Nagappan

PeerJ Author & Reviewer

Summary

Mei Nagappan's broad research interests are in 'Big Data' Empirical Software Engineering by mining Ultra Large repositories of software to identify patterns and relationships in large ecosystems. More recently he has extensively worked on solving software engineering challenges for various stakeholders of mobile apps.

Software Engineering

Past or current institution affiliations

University of Waterloo
Rochester Institute of Technology

Work details

Assistant Professor

University of Waterloo
Computer Science

PeerJ Contributions

  • Preprints 2
  • Reviewed 1
December 6, 2016 - Version: 1
Curating GitHub for engineered software projects
Nuthan Munaiah, Steven Kroh, Craig Cabrey, Meiyappan Nagappan
https://doi.org/10.7287/peerj.preprints.2617v1
February 11, 2015 - Version: 1
An empirical study of goto in C code
Meiyappan Nagappan, Romain Robbes, Yasutaka Kamei, Éric Tanter, Shane McIntosh, Audris Mockus, Ahmed E. Hassan
https://doi.org/10.7287/peerj.preprints.826v1

Signed reviews submitted for articles published in PeerJ Note that some articles may not have the review itself made public unless authors have made them open as well.

October 16, 2017
Are suggestions from coupled file changes useful for perfective maintenance tasks?
Jasmin Ramadani, Stefan Wagner
https://doi.org/10.7717/peerj-cs.135