78 citations · 88 across the 3 of their papers we have counts for
4 papers
Leveraging Predictions from Multiple Repositories to Improve Bot Detection
Natarajan Chidambaram, Alexandre Decan, Mehdi Golzadeh
Contemporary social coding platforms such as GitHub facilitate collaborative distributed software development. Developers engaged in these platforms often use machine accounts (bot…
Evaluating a bot detection model on git commit messages
Mehdi Golzadeh, Alexandre Decan, Tom Mens
Detecting the presence of bots in distributed software development activity is very important in order to prevent bias in large-scale socio-technical empirical analyses. In previou…
Identifying bot activity in GitHub pull request and issue comments
Mehdi Golzadeh, Alexandre Decan, Eleni Constantinou +1
Development bots are used on Github to automate repetitive activities. Such bots communicate with human actors via issue comments and pull request comments. Identifying such bot co…
A ground-truth dataset and classification model for detecting bots in GitHub issue and PR comments
Mehdi Golzadeh, Alexandre Decan, Damien Legay +1
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…