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How Gender-Biased Tools Shape Newcomer Experiences in OSS Projects

Authors :
Charles Hill
Igor Steinmacher
Margaret Burnett
Anita Sarma
Christopher Mendez
Claudia Hilderbrand
Luiz Felipe Dias
Logan Simpson
Amber Horvath
Zoe Steine Hanson
Marco Aurélio Gerosa
Susmita Hema Padala
Source :
IEEE Transactions on Software Engineering. 48:241-259
Publication Year :
2022
Publisher :
Institute of Electrical and Electronics Engineers (IEEE), 2022.

Abstract

Previous research has revealed that newcomer women are disproportionately affected by gender-biased barriers in open source software (OSS) projects. However, this research has focused mainly on social/cultural factors, neglecting the software tools and infrastructure. To shed light on how OSS tools and infrastructure might factor into OSS barriers to entry, we conducted two studies: (1) a field study with five teams of software professionals, who worked through five use cases to analyze the tools and infrastructure used in their OSS projects; and (2) a diary study with 22 newcomers (9 women and 13 men) to investigate whether the barriers matched the ones identified by the software professionals. The field study produced a bleak result: software professionals found gender biases in 73% of all the newcomer barriers they identified. Further, the diary study confirmed these results: Women newcomers encountered gender biases in 63% of barriers they faced. Fortunately, many the kinds of barriers and biases revealed in these studies could potentially be ameliorated through changes to the OSS software environments and tool.

Details

ISSN :
23263881 and 00985589
Volume :
48
Database :
OpenAIRE
Journal :
IEEE Transactions on Software Engineering
Accession number :
edsair.doi...........373a7c7d2069b7583a98a1a5637d4b47
Full Text :
https://doi.org/10.1109/tse.2020.2984173