Reducing implicit gender biases in software development: does intergroup contact theory work?

Wang, Yi; Zhang, Min

doi:10.1145/3368089.3409762

Cited by 15 publications

(5 citation statements)

References 76 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…For example, gender diversity and inclusiveness are among the frequently studied topics in the past five years. Researchers have studied the perception of inclusiveness [41], investigated the impacts of gender bias/diversity [42], [43], and explored possible causes [44] and solutions to improve the status quo [45]. Besides, some other aspects of team and community are also explored, such as coordination [46], transparency [47], trust [48].…”

Section: B Resultsmentioning

confidence: 99%

Ideology in Open Source Development

Yue

You

et al. 2021

Preprint

Self Cite

View full text Add to dashboard Cite

Open source development, to a great extent, is a type of social movement in which shared ideologies play critical roles. For participants of open source development, ideology determines how they make sense of things, shapes their thoughts, actions, and interactions, enables rich social dynamics in their projects and communities, and hereby realizes profound impacts at both individual and organizational levels. While software engineering researchers have been increasingly recognizing ideology's importance in open source development, the notion of "ideology" has shown significant ambiguity and vagueness, and resulted in theoretical and empirical confusion. In this article, we first examine the historical development of ideology's conceptualization, and its theories in multiple disciplines. Then, we review the extant software engineering literature related to ideology. We further argue the imperatives of developing an empirical theory of ideology in open source development, and propose a research agenda for developing such a theory. How such a theory could be applied is also discussed.

show abstract

Section: B Resultsmentioning

confidence: 99%

Ideology in Open Source Development

Yue

You

et al. 2021

Preprint

Self Cite

View full text Add to dashboard Cite

show abstract

“…Group composition (e.g., personality mix of members, whether group members are similar or diverse in age) significantly impacts group performance and it is often manipulated in studies focusing on groups and teams (Bell, 2007). For example, researchers have compared groups of varying sizes to assess performance effects (Mao et al, 2016) or explored how a group's gender composition influences the outcomes of intergroup contact (Wang & Zhang, 2020). Such research introduces complex organisational requirements (i.e., ensuring that groups are allocated with the appropriate number of participants of each gender) and can present challenges for researchers.…”

Section: Challenges With Existing Methodsmentioning

confidence: 99%

Waste Not Want Not: Computational Methods to Maximise Attendance in Group Research

Mayer,

Bocheva,

Hinds

et al. 2024

Preprint

View full text Add to dashboard Cite

Across disciplines, many areas of research rely on groups of human participants to attend experiments or events at the same time. Finding the most efficient set of times to maximize attendance and suit the diaries of multiple individuals is a computational problem concerning combinatorial optimization. Solving this problem would therefore support researchers to increase statistical power so that a final sample of groups is large enough to make meaningful statistical inferences. In Experiment 1 we develop a set of parameter-free heuristics to make allocation decisions that make better use of participants’ availability. Our best performing algorithm consistently outperforms algorithmic extensions of existing utilities, which we verify in Experiment 2 with a large human sample. As such, even the use of extremely simple purpose-built allocation algorithms show great promise for optimizing group research procedures. We discuss the implications of these findings across a variety of methodological and practical settings and provide detailed documentation so that researchers can use the algorithm in their own work.

show abstract

“…Finally, attention to non-binary people has been limited. While there are a few studies focusing on non-binary developers [36], [37], even studies that acknowledge presence of such genders [38], [39] tend to exclude non-binary individuals from further analysis due to the limited amount of data available. While we did not exclude the non-binary participant we managed to recruit, they identified as woman for most of their career and thus their statements contribute to the challenges and strategies of women developers rather than to those specific to non-binary developers.…”

Section: Related Workmentioning

confidence: 99%

"STILL AROUND": Experiences and Survival Strategies of Veteran Women Software Developers

Breukelen¹,

Barcomb²,

Baltes³

et al. 2023

Preprint

View full text Add to dashboard Cite

The intersection of ageism and sexism can create a hostile environment for veteran software developers belonging to marginalized genders. In this study, we conducted 14 interviews to examine the experiences of people at this intersection, primarily women, in order to discover the strategies they employed in order to successfully remain in the field. We identified 283 codes, which fell into three main categories: Strategies, Experiences, and Perception. Several strategies we identified, such as (Deliberately) Not Trying to Look Younger, were not previously described in the software engineering literature. We found that, in some companies, older women developers are recognized as having particular value, further strengthening the known benefits of diversity in the workforce. Based on the experiences and strategies, we suggest organizations employing software developers to consider the benefits of hiring veteran women software developers. For example, companies can draw upon the life experiences of older women developers in order to better understand the needs of customers from a similar demographic. While we recognize that many of the strategies employed by our study participants are a response to systemic issues, we still consider that, in the shortterm, there is benefit in describing these strategies for developers who are experiencing such issues today.

show abstract

Reducing implicit gender biases in software development: does intergroup contact theory work?

Cited by 15 publications

References 76 publications

Ideology in Open Source Development

Ideology in Open Source Development

Waste Not Want Not: Computational Methods to Maximise Attendance in Group Research

"STILL AROUND": Experiences and Survival Strategies of Veteran Women Software Developers

Contact Info

Product

Resources

About