Code Reviews in Open Source Projects

Sultana, S., Turzo, A. K., & Bosu, A. (2023). Code Reviews in Open Source Projects: How Do Gender Biases Affect Participation and Outcomes?. Empirical Software Engineering, 28(6).

Type

Journal article

Intellectual base

Primary research

Year

2023

DOI

10.1007/s10664-023-10324-9

Link

https://doi.org/10.1007/s10664-023-10324-9

Cited from

statistics_experimental_design

Cited by

1 citation across 1 artifact.

Each citation links to the sentence it supports in the citing article.

Primes

• Blinding
  • In software, blind code review withholds authorship and registered-metric analysis withholds the arm label.

    This sourceLarge-scale study (1010 FOSS projects) finding gender bias in code-acceptance outcomes and that women using gender-neutral (identity-concealed) profiles had higher odds of acceptance in several Gerrit projects — empirical support that blind code review withholds authorship to defend the evaluation against the identity channel.

Verification

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Registry ID ref:6493ef2ad1c1 · see in the full table