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20182025
most citedDetecting and Characterizing Bots that Commit Code

73 citations · 290 across the 34 of their papers we have counts for

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Showing 2020Show all

13 papers · 1 filter

cs.SE2020★ 9 cited

World of Code: Enabling a Research Workflow for Mining and Analyzing the Universe of Open Source VCS data

Yuxing Ma, Tapajit Dey, Chris Bogart +6

Open source software (OSS) is essential for modern society and, while substantial research has been done on individual (typically central) projects, only a limited understanding of…

cs.SE2020★ 1 cited

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…

cs.SE2020★ 22 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.SE2020★ 19 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

Representation of Developer Expertise in Open Source Software

Tapajit Dey, Andrey Karnauch, Audris Mockus

Background: Accurate representation of developer expertise has always been an important research problem. While a number of studies proposed novel methods of representing expertise…

cs.SE2020★ 28 cited

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…