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Background: Despite a growing body of literature on the impact of softwarebots on open source software development teams, their effects on teamcommunication, coordination, and collaboration practices are not wellunderstood. Bots can have negative consequences, such as producing informationoverload or reducing interactions between developers. Objective: The objectiveof this study is to investigate the effect of specific GitHub Actions on thecollaboration networks of Open Source Software teams, using a network-analyticapproach. The study will focus on Code Review bots, one of the most frequentlyimplemented types of bots. Method: Fine-grained, time-stamped data ofco-editing networks, developer-file contribution networks, as well as workflowruns and git commit logs will be obtained from a large sample of GitHubrepositories. This will allow us to study how bots affect the collaborationnetworks of developers over time. By using a more representative sample ofGitHub repositories than previous studies, which includes projects whose sizesspan the whole range of Open Source communities, this study will providegeneralizable results and updated findings on the general usage anddistribution of GitHub Actions. With this study, we aim to contribute toadvancing our knowledge of human-bot interaction and the effects of supporttools on software engineering teams.

A Network Perspective on the Influence of Code Review Bots on the Structure of Developer Collaborations