most citedDeriving a Usage-Independent Software Quality Metric

24 citations · 78 across the 5 of their papers we have counts for

collaborators

7 papers

cs.SE202022 cited

Effect of Technical and Social Factors on Pull Request Quality for the NPM Ecosystem

Tapajit Dey, Audris Mockus

Pull request (PR) based development, which is a norm for the social coding platforms, entails the challenge of evaluating the contributions of, often unfamiliar, developers from ac…

cs.SE202019 cited

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…

cs.SE2020

A Dataset and an Approach for Identity Resolution of 38 Million Author IDs extracted from 2B Git Commits

Tanner Fry, Tapajit Dey, Andrey Karnauch +1

The data collected from open source projects provide means to model large software ecosystems, but often suffer from data quality issues, specifically, multiple author identificati…

cs.SE2020

Detecting and Characterizing Bots that Commit Code

Tapajit Dey, Sara Mousavi, Eduardo Ponce +4

Background: Some developer activity traditionally performed manually, such as making code commits, opening, managing, or closing issues is increasingly subject to automation in man…

cs.SE202013 cited

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…

cs.SE202024 cited

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…