Please Don't Go – Increasing Women's Participation in Open Source Software

by   Bianca Trinkenreich, et al.

Women represent less than 24 from various types of prejudice and biases. In Open Source Software projects, despite a variety of efforts to increase diversity and multi-gendered participation, women are even more underrepresented (less than 10 research focuses on answering the question: How can OSS communities increase women's participation in OSS projects? I will identify the different OSS career pathways, and develop a holistic view of women's motivations to join or leave OSS, along with their definitions of success. Based on this empirical investigation, I will work together with the Linux Foundation to design attraction and retention strategies focused on women. Before and after implementing the strategies, I will conduct empirical studies to evaluate the state of the practice and understand the implications of the strategies.



There are no comments yet.


page 1

page 2

page 3


Please Don't Go – A Comprehensive Approach to Increase Women's Participation in Open Source Software

Women represent less than 24 industry and experience various types of pr...

Women's Participation in Open Source Software: A Survey of the Literature

Participation of women in Open Source Software (OSS) is very unbalanced,...

The Pot of Gold at the End of the Rainbow: What is Success for Open Source Contributors?

Success in Open Source Software (OSS) is often perceived as an exclusive...

Multi-Objective Optimization for Token-Based Clone Detection

Clone detection plays an important role in software engineering. Finding...

Forking Without Clicking: on How to Identify Software Repository Forks

The notion of software ”fork” has been shifting over time from the (nega...

Recommendations to clarify NASA open source requirements

The software community has specific definitions for terms such as "open ...

Online division of labour: emergent structures in Open Source Software

The development Open Source Software fundamentally depends on the partic...
This week in AI

Get the week's most popular data science and artificial intelligence research sent straight to your inbox every Saturday.