2022
DOI: 10.1109/tse.2021.3092813
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Including Everyone, Everywhere: Understanding Opportunities and Challenges of Geographic Gender-Inclusion in OSS

Abstract: The gender gap is a significant concern facing the software industry as the development becomes more geographically distributed. Widely shared reports indicate that gender differences may be specific to each region. However, how complete can these reports be with little to no research reflective of the Open Source Software (OSS) process and communities software is now commonly developed in? Our study presents a multi-region geographical analysis of gender inclusion on GitHub. This mixed-methods approach includ… Show more

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Cited by 28 publications
(10 citation statements)
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“…Specifically, 74,829 packages had links to either platform. Of these links, 51,657 were unique and 46,895 of them could be cloned from either GitHub (44,893), GitLab (1,498) or other git platforms (504). The inclusion of data from GitLab represents an important extension over the most widely used databases in OSS research, GHTorrent and GH Archive, which only use data from GitHub.…”
Section: Methodsmentioning
confidence: 99%
“…Specifically, 74,829 packages had links to either platform. Of these links, 51,657 were unique and 46,895 of them could be cloned from either GitHub (44,893), GitLab (1,498) or other git platforms (504). The inclusion of data from GitLab represents an important extension over the most widely used databases in OSS research, GHTorrent and GH Archive, which only use data from GitHub.…”
Section: Methodsmentioning
confidence: 99%
“…We do so in the following way: we discard name attributes and hash (via MD5 with a random salt) email address prefixes and GitHub/Gitlab logins. Researchers interested in studying social or demographic characteristics of developers, such as gender 37,38 , geography [39][40][41] , or both 42 , could adapt our approach to data collection and analyse these attributes. However, they should consider potential ethical issues that arise when Figure 2.…”
Section: Data Recordsmentioning
confidence: 99%
“…For the offline validation of our tool, we computed recommendations on all contributors and calculated the hit ratio percentage for the top k recommended projects lists (e.g., Top 5,10,15,20). We calculated the hit ratio as the number of users whose target project is listed in the top k list divided by the number of total users.…”
Section: The Offline Validationmentioning
confidence: 99%
“…Although these are helpful, there is still a key question we have yet to explore: how do we get projects access to the contributors they need to keep growing and evolving? Literature has shown that there are multiple roads to success in OSS [9] and that will to help others is a strong motivator [10]. Our goal is help connect contributors interested in having this type of impact with the opportunities to do so.…”
Section: Introductionmentioning
confidence: 99%
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