Gender Representation Among Contributors to Open-Source Infrastructure : An Analysis of 20 Package Manager Ecosystems

Gender Representation Among Contributors to Open-Source Infrastructure : An Analysis of 20 Package Manager Ecosystems
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DOI:
10.1109/icse-seis58686.2023.00025
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发表时间:
2023-05
期刊:
2023 IEEE/ACM 45th International Conference on Software Engineering: Software Engineering in Society (ICSE-SEIS)
影响因子:
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通讯作者:
Huilian Sophie Qiu;Zihe H Zhao;Tielin Katy Yu;Justin Wang;Alexander Ma;Hongbo Fang;Laura A. Dabbish;Bogdan Vasilescu
Huilian Sophie Qiu;Zihe H Zhao;Tielin Katy Yu;Justin Wang;Alexander Ma;Hongbo Fang;Laura A. Dabbish;Bogdan Vasilescu
中科院分区:
其他
文献类型:
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作者:
Huilian Sophie Qiu;Zihe H Zhao;Tielin Katy Yu;Justin Wang;Alexander Ma;Hongbo Fang;Laura A. Dabbish;Bogdan Vasilescu

文献摘要

相似文献

虽然开放源码中妇女和非二元人的代表性严重不足已得到广泛认可,但很少有经验数据表明这种情况随着时间的推移发生了怎样的变化,以及哪些子社区更有效地减少了性别失衡。为了更清楚地了解开源中的性别表征,我们从文献中汇编和综合了现有的经验数据,并计算了20个开源生态系统中女性表征的历史趋势。虽然基于姓名的自动性别推断在个人层面上捕获真实性别身份的能力本身就受到限制,但我们的人口普查仍然提供了宝贵的人口层面的洞察。在所有生态系统和大多数生态系统中,我们注意到随着时间的推移,女性在代码贡献者中的比例出现了令人振奋的上升趋势,但整个生态系统中女性贡献者的比例也存在很大差异。我们还发现,在大多数生态系统中,女性比男性更早退出开源参与。
While the severe underrepresentation of women and non-binary people in open source is widely recognized, there is little empirical data on how the situation has changed over time and which subcommunities have been more effectively reducing the gender imbalance. To obtain a clearer image of gender representation in open source, we compiled and synthesized existing empirical data from the literature, and computed historical trends in the representation of women across 20 open source ecosystems. While inherently limited by the ability of automatic name-based gender inference to capture true gender identities at an individual level, our census still provides valuable population-level insights. Across all and in most ecosystems, we observed a promising upward trend in the percentage of women among code contributors over time, but also high variation in the percentage of women contributors across ecosystems. We also found that, in most ecosystems, women withdraw earlier from open-source participation than men.