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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Podrobná bibliografie

Vydáno v:	The Journal of systems and software Ročník 175; s. 110911
Hlavní autoři:	Golzadeh, Mehdi, Decan, Alexandre, Legay, Damien, Mens, Tom
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Elsevier Inc 01.05.2021
Témata:	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
On-line přístup:	Získat plný text
Tagy:	Přidat tag Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!