2026 Brendan Murphy: Computer Science Researcher – H-Index, Publications & Awards

Overview

Brendan Murphy is affiliated with Microsoft in the United States and has contributed extensively to the field of Computer Science, with a focus on Artificial Intelligence, Analytical Chemistry, Information Systems, Statistics and Probability, and Molecular Biology. Their research portfolio spans 40 publications in these areas.

Their primary areas of study include:

Spectroscopy and Chemometric Analyses
Bayesian Methods and Mixture Models
COVID-19 Epidemiological Studies
Advanced Chemical Sensor Technologies
Spectroscopy Techniques in Biomedical and Chemical Research
Genetic and Phenotypic Traits in Livestock
Advanced Clustering Algorithms Research

Brendan Murphy has published in several venues, with the most frequent being:

arXiv (Cornell University), 14 publications
Statistical Analysis and Data Mining The ASA Data Science Journal, 8 publications
Scientific Reports, 4 publications
Journal of Dairy Science, 3 publications
Advances in Data Analysis and Classification, 3 publications

Some of their recent papers include:

"Predicting cow milk quality traits from routinely available milk spectra using statistical machine learning methods" (2021), Journal of Dairy Science
"Model-Based Clustering" (2022), Annual Review of Statistics and Its Application
"Application of machine-learning methods to milk mid-infrared spectra for discrimination of cow milk from pasture or total mixed ration diets" (2021), Journal of Dairy Science
"Calibrating COVID-19 susceptible-exposed-infected-removed models with time-varying effective contact rates" (2021), Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences
"On the pinned distances problem in positive characteristic" (2022), Journal of the London Mathematical Society

Frequent co-authors collaborating with Brendan Murphy include:

Isobel Claire Gormley
Francesca Greselin
R. William G. Watson
Andrea Cappozzo
Bertrand Clarke

Best Publications

Cross-project defect prediction: a large scale experiment on data vs. domain vs. process

Thomas Zimmermann;Nachiappan Nagappan;Harald Gall;Emanuel Giger

883
Citations
Don't touch my code!: examining the effects of ownership on software quality

Christian Bird;Nachiappan Nagappan;Brendan Murphy;Harald Gall

464
Citations
The influence of organizational structure on software quality: an empirical case study

Nachiappan Nagappan;Brendan Murphy;Victor Basili

360
Citations
Characterizing and predicting which bugs get fixed: an empirical study of Microsoft Windows

Philip J. Guo;Thomas Zimmermann;Nachiappan Nagappan;Brendan Murphy

358
Citations
Does distributed development affect software quality?: an empirical case study of Windows Vista

Christian Bird;Nachiappan Nagappan;Premkumar Devanbu;Harald Gall

332
Citations
Can developer-module networks predict failures?

Martin Pinzger;Nachiappan Nagappan;Brendan Murphy

326
Citations
Putting It All Together: Using Socio-technical Networks to Predict Failures

Christian Bird;Nachiappan Nagappan;Harald Gall;Brendan Murphy

264
Citations
Change Bursts as Defect Predictors

Nachiappan Nagappan;Andreas Zeller;Thomas Zimmermann;Kim Herzig

224
Citations
Characterizing and predicting which bugs get reopened

Thomas Zimmermann;Nachiappan Nagappan;Philip J. Guo;Brendan Murphy

186
Citations
"Not my bug!" and other reasons for software bug report reassignments

Philip J. Guo;Thomas Zimmermann;Nachiappan Nagappan;Brendan Murphy

177
Citations
Challenges with applying vulnerability prediction models

Patrick Morrison;Kim Herzig;Brendan Murphy;Laurie Williams

148
Citations
Measuring system and software reliability using an automated data collection process

Brendan Murphy;Ted Gent

114
Citations
The art of testing less without sacrificing quality

Kim Herzig;Michaela Greiler;Jacek Czerwonka;Brendan Murphy

108
Citations
The Top 10 Adages in Continuous Deployment

Chris Parnin;Eric Helms;Chris Atlee;Harley Boughton

100
Citations
Windows 2000 Dependability

Brendan Murphy;Björn Levidow

97
Citations
Using Historical In-Process and Product Metrics for Early Estimation of Software Failures

N. Nagappan;T. Ball;B. Murphy

96
Citations
Have Agile Techniques been the Silver Bullet for Software Development at Microsoft

Brendan Murphy;Christian Bird;Thomas Zimmermann;Laurie Williams

92
Citations
Cross-project Defect Prediction

Thomas Zimmermann;Nachiappan Nagappan;Harald Gall;Emanuel Giger

84
Citations
CODEMINE: Building a Software Development Data Analytics Platform at Microsoft

J. Czerwonka;N. Nagappan;W. Schulte;B. Murphy

81
Citations
Characterizing experimentation in continuous deployment: a case study on bing

Katja Kevic;Brendan Murphy;Laurie Williams;Jennifer Beckmann

75
Citations

Frequent Co-Authors

Nachiappan Nagappan Facebook (United States)

Thomas Zimmermann Microsoft (United States)

Laurie Williams North Carolina State University

Christian Bird Microsoft (United States)

Premkumar Devanbu University of California, Davis

Harald C. Gall University of Zurich

Philip J. Guo University of California, San Diego

Andreas Zeller Saarland University

Michael Stumm University of Toronto

Richard Harper Social Shaping Research

External Links

Personal website of Brendan Murphy

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