No issue left behind: reducing information overload in issue tracking

Olga Baysal, Reid Holmes, Michael W. Godfrey
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引用次数: 20

Abstract

Modern software development tools such as issue trackers are often complex and multi-purpose tools that provide access to an immense amount of raw information. Unfortunately, developers sometimes feel frustrated when they cannot easily obtain the particular information they need for a given task; furthermore, the constant influx of new data — the vast majority of which is irrelevant to their task at hand — may result in issues being "dropped on the floor". In this paper, we present a developer-centric approach to issue tracking that aims to reduce information overload and improve developers' situational awareness. Our approach is motivated by a grounded theory study of developer comments, which suggests that customized views of a project's repositories that are tailored to developer-specific tasks can help developers better track their progress and understand the surrounding technical context. From the qualitative study, we uncovered a model of the kinds of information elements that are essential for developers in completing their daily tasks, and from this model we built a tool organized around customized issue-tracking dashboards. Further quantitative and qualitative evaluation demonstrated that this dashboard-like approach to issue tracking can reduce the volume of irrelevant emails by over 99% and also improve support for specific issue-tracking tasks.
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不留下任何问题:减少问题跟踪中的信息过载
像问题跟踪器这样的现代软件开发工具通常是复杂的、多用途的工具,提供对大量原始信息的访问。不幸的是,开发人员有时会因为无法轻松获得特定任务所需的特定信息而感到沮丧;此外,不断涌入的新数据——其中绝大多数与他们手头的任务无关——可能会导致问题“被扔到地板上”。在本文中,我们提出了一种以开发人员为中心的问题跟踪方法,旨在减少信息过载并提高开发人员的态势感知。我们的方法是基于对开发人员评论的理论研究,这表明为开发人员特定任务量身定制的项目存储库视图可以帮助开发人员更好地跟踪他们的进度并理解周围的技术环境。从定性研究中,我们发现了对开发人员完成日常任务至关重要的各种信息元素的模型,并且从这个模型中,我们构建了一个围绕自定义问题跟踪仪表板组织的工具。进一步的定量和定性评估表明,这种类似仪表板的问题跟踪方法可以将不相关的电子邮件数量减少99%以上,还可以改善对特定问题跟踪任务的支持。
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