A ground-truth dataset and classification model for detecting bots in GitHub issue and PR comments

Bots are frequently used in Github repositories to automate repetitive activities that are part of the distributed software development process. They communicate with human actors through comments. While detecting their presence is important for many reasons, no large and representative ground-truth...

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Vydané v:	The Journal of systems and software Ročník 175; s. 110911
Hlavní autori:	Golzadeh, Mehdi, Decan, Alexandre, Legay, Damien, Mens, Tom
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Elsevier Inc 01.05.2021
Predmet:	Bot identification Classification model Distributed software development GitHub repositories Text similarity Bot identification Distributed software development Classification model Text similarity GitHub repositories
ISSN:	0164-1212, 1873-1228
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