Abstract | ||
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Gender inclusiveness in computing settings is receiving a lot of attention, but one potentially critical factor has mostly been overlooked -- software itself. To help close this gap, we recently created GenderMag, a systematic inspection method to enable software practitioners to evaluate their software for issues of gender-inclusiveness. In this paper, we present the first real-world investigation of software practitioners' ability to identify gender-inclusiveness issues in software they create/maintain using this method. Our investigation was a multiple-case field study of software teams at three major U.S. technology organizations. The results were that, using GenderMag to evaluate software, these software practitioners identified a surprisingly high number of gender-inclusiveness issues: 25% of the software features they evaluated had gender-inclusiveness issues.
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Year | DOI | Venue |
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2016 | 10.1145/2858036.2858274 | CHI |
Keywords | Field | DocType |
GenderMag, gender, usability, field study | Data science,Personal software process,Software deployment,Software review,Software analytics,Computer science,Software peer review,Human–computer interaction,Software metric,Management science,Software development,Social software engineering | Conference |
ISBN | Citations | PageRank |
978-1-4503-3362-7 | 18 | 0.88 |
References | Authors | |
34 | 4 |
Name | Order | Citations | PageRank |
---|---|---|---|
Margaret M. Burnett | 1 | 3607 | 262.34 |
Anicia Peters | 2 | 76 | 7.56 |
Charles Hill | 3 | 61 | 3.98 |
Noha Elarief | 4 | 22 | 1.33 |