论文标题
在一起还是分开？调查调解器机器人以汇总机器人对拉请求的评论
Together or Apart? Investigating a mediator bot to aggregate bot's comments on pull requests
论文作者
论文摘要
软件机器人将用户和工具连接，从而简化了社交编码平台中的拉动请求审核过程。但是，机器人可以将信息过载引入开发人员的通信中。对于新移民而言，信息超载尤其有问题，他们仍在探索该项目，并可能对消息数量感到不知所措。受其他领域文献的启发，我们设计和评估了FunnelBot，该机器人是开发人员和存储库中其他机器人之间的调解器。我们对25名新移民进行了受试者内研究，以捕捉他们的看法和偏好。我们的结果为想要减轻噪音并为支持新移民创建机器人的机器人开发人员提供了见解，为设计更好的机器人奠定了基础。
Software bots connect users and tools, streamlining the pull request review process in social coding platforms. However, bots can introduce information overload into developers' communication. Information overload is especially problematic for newcomers, who are still exploring the project and may feel overwhelmed by the number of messages. Inspired by the literature of other domains, we designed and evaluated FunnelBot, a bot that acts as a mediator between developers and other bots in the repository. We conducted a within-subject study with 25 newcomers to capture their perceptions and preferences. Our results provide insights for bot developers who want to mitigate noise and create bots for supporting newcomers, laying a foundation for designing better bots.
