Project level effects of gender on contribution evaluation on GitHub
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OA: closed
Abstract
Distributed open source software development has largely turned to GitHub, a pull-based software development collaboration platform. Recent studies have deployed data science techniques on the large datasets available about millions of projects on GitHub. Some research has focused on pull request (PR) acceptance predictors and evidence was found of sexual discrimination among members. In this paper I analyzed the influence of gender on PR acceptance on a project level, comparing different popular projects regarding their discrimination factors. Several projects were identified that have significant differences between male and female PR acceptance rates.
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