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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Veröffentlicht in:	The Journal of systems and software Jg. 175; S. 110911
Hauptverfasser:	Golzadeh, Mehdi, Decan, Alexandre, Legay, Damien, Mens, Tom
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier Inc 01.05.2021
Schlagworte:	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
Online-Zugang:	Volltext
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