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

标题
A ground-truth dataset and classification model for detecting bots in GitHub issue and PR comments
作者
关键词
Distributed software development, Bot identification, GitHub repositories, Text similarity, Classification model
出版物
JOURNAL OF SYSTEMS AND SOFTWARE
Volume -, Issue -, Pages 110911
出版商
Elsevier BV
发表日期
2021-01-23
DOI
10.1016/j.jss.2021.110911

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