Towards GEEZMO: hiGh-frEquEncy Zest and Mood-pOlling for proactive software development problem-solving

E. D. Nitto, R. Mirandola, Santi Raffa, D. Tamburri
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引用次数: 1

Abstract

Development of software is happening on an increasingly distributed fashion. Individuals normally coordinate and interact over any combination of IRC rooms, mailing lists, private email, etc. Conversely, big players like Google Inc. employ yearly Googlegeist polls asking its employees how they feel about the company, its directions and its managers. As a consequence, the amount of time required for managers and management to feel the pulse of their subordinates is removed from actual work. We argue that software development status can be computed by eliciting just a few bits of information that can be anonymously extracted by a single poll - the poll can be completed very quickly and its administration can happen as a simple prompt inside windows that developers would be visiting anyway (e.g., the log-in screen, commit screens, etc.). This paper elaborates this idea and develops a prototype to articulate the idea in practice. Finally, the idea is discussed using a preliminary validation by means of statistical methods and simulations.
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迈向GEEZMO:主动软件开发问题解决的高频热情和情绪轮询
软件开发正以一种日益分布式的方式进行。个人通常通过IRC聊天室、邮件列表、私人电子邮件等任意组合进行协调和互动。相反,像谷歌(Google Inc.)这样的大公司每年都会在Googlegeist上进行民意调查,询问员工对公司、公司发展方向和管理层的看法。因此,管理者和管理人员在实际工作中感受下属脉搏所需的时间就少了。我们认为,软件开发状态可以通过激发少量信息来计算,这些信息可以通过单个投票匿名提取——投票可以很快完成,并且它的管理可以在开发人员无论如何都会访问的窗口(例如,登录屏幕,提交屏幕等)中以简单的提示符发生。本文阐述了这一思想,并开发了一个原型,以在实践中表达这一思想。最后,通过统计方法和仿真进行了初步验证。
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