  The ever-increasing complexity of modern software engineering projects makes
the usage of automated assistants imperative. Bots can be used to complete
repetitive tasks during development and testing, as well as promoting
communication between team members through issue reporting and documentation.
Although the ultimate aim of these automated assistants is to speed taskwork
completion, their inclusion into GitHub repositories may affect teamwork as
well. This paper studies the question of how bots modify the team workflow. We
examined the event sequences of repositories with bots and without bots using a
contrast motif discovery method to detect subsequences that are more prevalent
in one set of event sequences vs. the other. Our study reveals that teams with
bots are more likely to intersperse comments throughout their coding
activities, while not actually being more prolific commenters.
