Abstract
Software development is usually a collaborative venture. Open Source Software (OSS) projects are no exception; indeed, by design, the OSS approach can accommodate teams that are more open, geographically distributed, and dynamic than commercial teams. This, we find, leads to OSS teams that are quite diverse. Team diversity, predominantly in offline groups, is known to correlate with team output, mostly with positive effects. How about in OSS? Using GitHub, the largest publicly available collection of OSS projects, we studied how gender and tenure diversity relate to team productivity and turnover. Using regression modeling of GitHub data and the results of a survey, we show that both gender and tenure diversity are positive and significant predictors of productivity, together explaining a sizable fraction of the data variability. These results can inform decision making on all levels, leading to better outcomes in recruiting and performance.
Original language | English |
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Title of host publication | 33rd Annual ACM Conference on Human Factors in Computing Systems (CHI'15, Seoul, Korea, April 18-23, 2015) |
Place of Publication | New York NY |
Publisher | Association for Computing Machinery, Inc. |
Pages | 3789-3798 |
ISBN (Print) | 978-1-4503-3145-6 |
DOIs | |
Publication status | Published - 2015 |
Event | 33rd Annual ACM Conference on Human Factors in Computing Systems, CHI 2015 - Seoul, Korea, Republic of Duration: 18 Apr 2015 → 23 Apr 2015 Conference number: 33 https://chi2015.acm.org/ https://dl.acm.org/citation.cfm?id=2702123 |
Conference
Conference | 33rd Annual ACM Conference on Human Factors in Computing Systems, CHI 2015 |
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Abbreviated title | CHI 2015 |
Country/Territory | Korea, Republic of |
City | Seoul |
Period | 18/04/15 → 23/04/15 |
Other | "Crossings" |
Internet address |