Gender diversity analysis in some OSS projects

Daniel Izquierdo and Alberto Pérez
MadSeSe, UPM, Madrid

Transcript

1. Gender-diversity analysis of technical contributions (In some OSS projects) Daniel Izquierdo/Alberto Pérez @dizquierdo/@alpgarcia dizquierdo/alpgarcia at bitergia dot com https://speakerdeck.com/bitergia MadSeSe, Madrid 2017
2. /Bitergia Software Development Analytics for your peace of mind
3. Big Bang OpenStack Tokyo Summit Informal conversation: 13% female attendees Question: how many of them are actually contributing code?
4. Why diversity Diversity brings innovation Different points of view to attack the same problem Example: In the US, there is a linear relationship between racial and ethnic diversity and better financial performance http://www.mckinsey.com/business-functions/organization/our-insights/why-diversi ty-matters
5. What diversity? Several meanings for diversity (Apache CoC): “age, culture, ethnicity, genotype, gender identity or expression, language, national origin, neurotype, phenotype, political beliefs, profession, race, religion, sexual orientation, socioeconomic status, subculture and technical ability”
6. Context
7. Context FOSS Survey in 2013: - http://floss2013.libresoft.es/results.en.html - 11% of women answered the survey The Industry Gender Gap by the World Economic Forum. - 5% for CEOs, 21% for Mid-level roles, 32% of Junior roles
8. Some companies https://blog.pinterest.com/en/our -plan-more-diverse-pinterest http://www.google.com/diversity/ http://newsroom.fb.com/news/2015/0 6/driving-diversity-at-facebook/ https://blogs.dropbox.com/dropbox/2014/11/stren gthening-dropbox-through-diversity/
9. Our Analysis Architecture Results
10. Architecture Original Data Sources Mining Tools Perceval Info Enrich. Genderize.io Pandas Manual work Viz ElasticSearch + Kibana
11. Numbers OpenStack Git: 400K commits, 8K developers OpenStack Mailing lists: 154K emails, 8K participants OpenStack Gerrit: 1.5M review actions, 5.5K reviewers [2011-2016] Linux Kernel Git: 1.5M commits, 15K contributors [2005- 2016] Linux Kernel Mailing list: 1.2 M Patch emails, 27k submitters [2002-2016] Hadoop ecosystem: 200K commits [2006-2016]
12. OpenStack (Austin) Women activity (all of the history): ~ 10,5% of the population ( ~ 570 developers ) ~ 6,8% of the activity ( >=16k commits )
13. Women activity (last year): ~ 11% of the population ( ~ 340 active developers ) ~ 9% of the activity ( >=6k commits ) OpenStack (Austin)
14. Linux Kernel Women activity (since 2005): ~ 5.2% ( > 31K commits) ~ 8% of the population ( ~ 1,15K developers)
15. Women activity (last year): ~ 6.8% of the activity ( ~ 4k commits ) ~ 9.9% of the population ( ~ 330 active developers ) Linux Kernel
16. Women activity (all history): 8.8K commits (4.6% of activity) 129 (7.5% of population) Hadoop
17. Women activity (last year): ~2K commits (6.5% of the activity) 71 developers (8.5% of the population) Hadoop
18. Summary Conclusions not representative, but: - Women represents around 30%/40% of the workforce in tech companies. - And between 10% and 20% if focused on tech teams. - OpenStack shows a 11% of the population - Linux Kernel shows a 10% of the population - Hadoop ecosystem around 8.5% of the population
19. Conclusions
20. Further Work Sensitive info: dashboard still private Extra analysis: time to merge fairness, companies women %, Outreachy follow ups, quarterly reports, updated data, specific policies ROI and others. This [hopefully] helps to have a better picture Other minorities analysis could be done Gender diversity is not binary Detect good and bad practices in OSS projects Asian names
21. Decisions based on data!
22. Gender-diversity analysis of technical contributions (In some OSS projects) Daniel Izquierdo/Alberto Pérez @dizquierdo/@alpgarcia dizquierdo/alpgarcia at bitergia dot com https://speakerdeck.com/bitergia MadSeSe, Madrid 2017