She elicits requirements and he tests: Software engineering gender bias in large language models
Implicit gender bias in software development is a well-documented issue, such as the association of technical roles with men. To address this bias, it is important to understand it in more detail. This study uses data mining techniques to investigate the extent to which 56 tasks related to software...
Saved in:
Main Authors: | TREUDE, Christoph, HATA, Hideaki |
---|---|
Format: | text |
Language: | English |
Published: |
Institutional Knowledge at Singapore Management University
2023
|
Subjects: | |
Online Access: | https://ink.library.smu.edu.sg/sis_research/8865 https://ink.library.smu.edu.sg/context/sis_research/article/9868/viewcontent/genderbias.pdf |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Singapore Management University |
Language: | English |
Similar Items
-
Large language models for qualitative research in software engineering: exploring opportunities and challenges
by: BANO, Muneera, et al.
Published: (2024) -
GitHubInclusifier: Finding and fixing non-inclusive language in GitHub repositories
by: TODD, Liam, et al.
Published: (2024) -
Supporting software engineers with large language model-based automation
by: ZHANG, Ting
Published: (2023) -
Challenges in analyzing software documentation in Portuguese
by: TREUDE, Christoph, et al.
Published: (2015) -
Bias problems in large language models and how to mitigate them
by: Ong, Adrian Zhi Ying
Published: (2024)