24 citations · 63 across the 6 of their papers we have counts for
6 papers
More Effective Software Repository Mining
Adam Tutko, Austin Henley, Audris Mockus
Background: Data mining and analyzing of public Git software repositories is a growing research field. The tools used for studies that investigate a single project or a group of pr…
Do Code Review Measures Explain the Incidence of Post-Release Defects?
Andrey Krutauz, Tapajit Dey, Peter C. Rigby +1
Aim: In contrast to studies of defects found during code review, we aim to clarify whether code reviews measures can explain the prevalence of post-release defects. Method: We repl…
Which Pull Requests Get Accepted and Why? A study of popular NPM Packages
Tapajit Dey, Audris Mockus
Background: Pull Request (PR) Integrators often face challenges in terms of multiple concurrent PRs, so the ability to gauge which of the PRs will get accepted can help them balanc…
Deriving a Usage-Independent Software Quality Metric
Tapajit Dey, Audris Mockus
Context:The extent of post-release use of software affects the number of faults, thus biasing quality metrics and adversely affecting associated decisions. The proprietary nature o…
An Analytical Workflow for Clustering Forensic Images
Sara Mousavi, Dylan Lee, Tatianna Griffin +2
Large collections of images, if curated, drastically contribute to the quality of research in many domains. Unsupervised clustering is an intuitive, yet effective step towards cura…
ALFAA: Active Learning Fingerprint Based Anti-Aliasing for Correcting Developer Identity Errors in Version Control Data
Sadika Amreen, Audris Mockus, Chris Bogart +2
Graphs of developer networks are important for software engineering research and practice. For these graphs to realistically represent the networks, accurate developer identities a…