BDGOA: A bot detection approach for GitHub OAuth Apps-Reference-Cited by-同舟云学术

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BDGOA: A bot detection approach for GitHub OAuth Apps

Published:2023-09 Issue:3 Volume:4 Page:181-197
ISSN:2708-6240
Container-title:Intelligent and Converged Networks
language:
Short-container-title:Intell. and Converged Netw.

Author:

Liao Zhifang¹,Huang Xuechun¹,Zhang Bolin¹,Wu Jinsong²,Cheng Yu³

Affiliation:

1. School of Computer Science and Engineering, Central South University,Changsha,China,410083

2. School of Artificial Intelligence, Guilin University of Electronic Technology,Guilin,China,541004

3. Hunan Glozeal Science and Technology Co., Ltd.,Changsha,China,410083

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Networks and Communications

Link

http://xplorestaging.ieee.org/ielx7/9195266/10286548/10286551.pdf?arnumber=10286551

Reference30 articles.

1. Detecting and Characterizing Bots that Commit Code

2. Developer fluency

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

4. What to Expect from Code Review Bots on GitHub?

5. Permutation importance: a corrected feature importance measure

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