2022
DOI: 10.1109/ms.2022.3178601
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Recognizing Bot Activity in Collaborative Software Development

Abstract: published version features the final layout of the paper including the volume, issue and page numbers. Link to publication General rightsCopyright and moral rights for the publications made accessible in the public portal are retained by the authors and/or other copyright owners and it is a condition of accessing publications that users recognise and abide by the legal requirements associated with these rights.• Users may download and print one copy of any publication from the public portal for the purpose of … Show more

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Cited by 5 publications
(3 citation statements)
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References 13 publications
(21 reference statements)
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“…GitHub Copilot can already successfully do CS1 introductory programming assignments with few or no prompt adjustments [13] . Moreover, the bots play an undeniable role in large collaborative software projects on GitHub, and some could not be identified as bots [14] . However, Christopher performed exploratory interviews with industry professionals, "just like writing the first version of anything you want"; "it is up to the reader to understand if the generated content is factual and appropriate," and suggested the developers shift in focus to higher levels of problem-solving since the user-generated responses may be what the user asked for, but not what they intended or require [15] .…”
Section: Application Of Generative Aimentioning
confidence: 99%
“…GitHub Copilot can already successfully do CS1 introductory programming assignments with few or no prompt adjustments [13] . Moreover, the bots play an undeniable role in large collaborative software projects on GitHub, and some could not be identified as bots [14] . However, Christopher performed exploratory interviews with industry professionals, "just like writing the first version of anything you want"; "it is up to the reader to understand if the generated content is factual and appropriate," and suggested the developers shift in focus to higher levels of problem-solving since the user-generated responses may be what the user asked for, but not what they intended or require [15] .…”
Section: Application Of Generative Aimentioning
confidence: 99%
“…As a result, we can't confidently state that our comparisons were solely against human-developed solutions. For instance, evidence presented by Golzadeh et al suggests that bots are frequently among the top contributors on GitHub, yet their contributions go unrecognized 22 .…”
Section: Threats To Validitymentioning
confidence: 99%
“…This has led to inquiries about the comparative performance of software developers and AI when executing identical tasks. For example, Golzadeh et al conducted a study on extensive open-source projects hosted on GitHub, where they discovered that bots rank highly in terms of contribution activity, even though they aren't explicitly identified as bots 22 .…”
Section: Introductionmentioning
confidence: 99%