On measuring affects of github issues' commenters
Giuseppe Destefanis, Marco Ortu, David Bowes, Michele Marchesi, Roberto Tonelli · 2018
In this study, we analyzed issues and comments on GitHub projects and built collaboration networks dividing contributors into two categories: users and commenters. We identified as commenters those users who only post comments without posting any issues nor committing changes in the source code. Since previous studies showed that there is a link between a positive environment (regarding affectiveness) and productivity, our goal was to investigate commenters' contribution to the project concerning affectiveness.