首页> 外文会议>2018 IEEE 1st International Workshop on Mining and Analyzing Interaction Histories >The cost-benefit analysis of usage data in robotstudio (keynote)
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The cost-benefit analysis of usage data in robotstudio (keynote)

机译:Robotstudio中使用数据的成本效益分析(主题演讲)

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Instrumenting development environments and automatically uploading anonymized data has a concrete cost. With the cautionary tale of the Eclipse IDE’s failed data collection effort looming over us, we must examine for ourselves the question: Is the cost worth it? In this talk I’ll do a deep dive into ABB’s own data collection effort for a robotics-focused development environment, Robot- Studio, weighing the costs and benefits from this particular case. We’ll discuss how usage data saved the team person years’ of effort, how team leaders’ increased the visibility of this data by co-locating it with the cafeteria’s lunch menu, and we’ll open up discussion as to what we should explore next.
机译:检测开发环境并自动上传匿名数据具有具体成本。关于Eclipse IDE失败的数据收集工作的警惕性故事笼罩着我们,我们必须为自己研究一个问题:成本值得吗?在本次演讲中,我将深入探讨ABB自己的数据收集工作,以机器人为中心的开发环境RobotStudio,权衡此特定案例的成本和收益。我们将讨论使用情况数据如何节省团队成员多年的精力,团队负责人如何通过将其与自助餐厅的午餐菜单一起放置来增加此数据的可见性,并且将展开有关应探索的内容的讨论。下一个。

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