社交编码环境下软件机器人对拉取请求的感知

M. Wessel
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引用次数: 0

摘要

软件机器人连接用户和工具,简化了社交编码平台上的拉取请求审查过程。然而,机器人的存在可能会给社区带来烦恼和破坏。通过采访开源开发者,我们创建了一个关于人类开发者如何将恼人的机器人行为视为噪音的理论。为了确定克服这些问题的策略,我们将设计小说作为实践者的参与式方法。我们的研究结果可以帮助从业者理解采用机器人的影响,研究人员和工具设计师可以利用我们的研究结果更好地支持社交编码平台上的人机交互。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Perception of software bots on pull requests on social coding environments
Software bots connect users and tools, streamlining the pull request review process in social coding platforms. Nevertheless, the presence of bots can be annoying and disruptive to the community. Interviewing open-source developers, we created a theory of how human developers perceive annoying bot behaviors as noise. To identify strategies to overcome such problems, we applied Design Fiction as a participatory method with practitioners. Our findings may help practitioners understand the effects of adopting a bot, and researchers and tool designers may leverage our results to better support human-bot interaction on social coding platforms.
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