Going Farther Together: The Impact of Social Capital on Sustained Participation in Open Source

Abstract

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Beyond the Code Itself: How Programmers Really Look at Pull Requests

“…Such a capital can be made explicit using reputation scores as, e.g., customary at Stack Overflow, or visualized using badges akin to those used on GitHub to represent the status of a project [6]. Qiu et al have shown that the more often people participate in projects with high potential for building social capital, the higher their chance of prolonged engagement [17]. Alternatively, one can design a "coders anonymous" GitHub-like platform by removing all social signals, hence forcing the integrators to focus solely on the code change proposed and the technical signals.…”

Gender Diversity and Women in Software Teams: How Do They Affect Community Smells?

“…In a different work, Vasilescu et al [26] have observed higher participation and activity levels of women in mailing lists of open source projects as opposed to more competitive environment of STACK OVERFLOW, and Qiu et al [57] have studied the impact of participation in open teams wrt diversity of ties and information on the chance of prolonged engagement of women in open source projects. Terrell et al [42] have observed gender-related bias in pull request acceptance.…”

How Remote Work Can Foster a More Inclusive Environment for Transgender Developers

“…More generally, recent research has demonstrated how ostensibly technical concerns like out-of-date documentation can create barriers to entry for women seeking to participate in open-source software development [15], how gender balance correlates with productivity in GitHub projects [16] or likelihood of suboptimal communication patterns [17], and on differences in activity of individuals of different genders on such software engineering platforms as GitHub [18] and Stack Overflow [19]. This being said so far the studies have focused on the opposition of women and men with gender either being reported by survey participants or inferred by automatic tools based on names and avatar images.…”