ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2010.03303
  4. Cited By
A ground-truth dataset and classification model for detecting bots in
  GitHub issue and PR comments

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

7 October 2020
M. Golzadeh
Alexandre Decan
Damien Legay
T. Mens
ArXivPDFHTML

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

4 / 4 papers shown
Title
DevBots can co-design APIs
DevBots can co-design APIs
Vinicius Soares Silva Marques
19
0
0
10 Dec 2023
Predicting the First Response Latency of Maintainers and Contributors in
  Pull Requests
Predicting the First Response Latency of Maintainers and Contributors in Pull Requests
SayedHassan Khatoonabadi
Ahmad Abdellatif
D. Costa
Emad Shihab
VLM
24
3
0
13 Nov 2023
Detecting and Characterizing Bots that Commit Code
Detecting and Characterizing Bots that Commit Code
Tapajit Dey
Sara Mousavi
Eduardo Ponce
Tanner Fry
Bogdan Vasilescu
Anna Filippova
A. Mockus
35
79
0
02 Mar 2020
Dissecting a Social Botnet: Growth, Content and Influence in Twitter
Dissecting a Social Botnet: Growth, Content and Influence in Twitter
Norah Abokhodair
Daisy Yoo
David W. McDonald
39
262
0
13 Apr 2016
1