How to Ask About Gender Identity of Software Engineers and "Guess" It from the Archival Data

Alexander Serebrenik (Corresponding author)

Research output: Chapter in Book/Report/Conference proceedingChapterAcademicpeer-review

3 Citations (Scopus)
21 Downloads (Pure)

Abstract

Multiple studies of gender in software engineering require identifying gender of the individuals involved either by asking them (when conducting interviews and surveys) or by “guessing” it from archival data recorded in software repositories. In this chapter we discuss ways to ask about gender in surveys and interviews as well as three groups of automated genderization approaches proposed in the literature: name-to-gender, face-to-gender, and artifact-to-gender. For each one of the approaches, we discuss the way they work, the associated ethical concerns, the reliability and accuracy concerns, and the assumptions they make.
Original languageEnglish
Title of host publicationEquity, Diversity, and Inclusion in Software Engineering
Subtitle of host publicationBest Practices and Insights
EditorsDaniela Damian, Kelly Blincoe, Denae Ford, Alexander Serebrenik, Zainab Masood
PublisherApress, Inc.
Chapter28
Pages487-505
Number of pages19
ISBN (Electronic)978-1-4842-9651-6
ISBN (Print)978-1-4842-9650-9
DOIs
Publication statusPublished - 21 Sept 2024

Fingerprint

Dive into the research topics of 'How to Ask About Gender Identity of Software Engineers and "Guess" It from the Archival Data'. Together they form a unique fingerprint.

Cite this