Recognizing bot activity in collaborative software development

Mehdi Golzadeh; Tom Mens; Alexandre Decan; Eleni Constantinou; Natarajan Chidambaram

doi:10.1109/MS.2022.3178601

Recognizing bot activity in collaborative software development

Mehdi Golzadeh, Tom Mens, Alexandre Decan, Eleni Constantinou, Natarajan Chidambaram

Research output: Contribution to journal › Article › Academic › peer-review

7 Citations (Scopus)

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Abstract

Using popular open source projects on GitHub, we provide evidence that bots are regularly among the most active contributors, even though GitHub does not explicitly acknowledge their presence. This poses a problem for techniques that analyze human contributor activity.

Original language	English
Pages (from-to)	56-61
Number of pages	6
Journal	IEEE Software
Volume	39
Issue number	5
Early online date	26 May 2022
DOIs	https://doi.org/10.1109/MS.2022.3178601
Publication status	Published - Sept 2022

Keywords

bot identification
contributor activity
developer contribution
machine account

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title = "Recognizing bot activity in collaborative software development",

abstract = "Using popular open source projects on GitHub, we provide evidence that bots are regularly among the most active contributors, even though GitHub does not explicitly acknowledge their presence. This poses a problem for techniques that analyze human contributor activity.",

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AU - Constantinou, Eleni

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Recognizing bot activity in collaborative software development

Abstract

Keywords

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