This is your cue! assisting search behaviour with resource style properties

Deeksha M. Arya
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Abstract

When learning a software technology, programmers face a large variety of resources in different styles and catering to different requirements. Although search engines are helpful to filter relevant resources, programmers are still required to manually go through a number of resources before they find one pertinent to their needs. Prior work has largely concentrated on helping programmers find the precise location of relevant information within a resource. Our work focuses on helping programmers assess the pertinence of resources to differentiate between resources. We investigated how programmers find learning resources online via a diary and interview study, and observed that programmers use certain cues to determine whether to access a resource. Based on our findings, we investigate the extent to which we can support the cue-following process via a prototype tool. Our research supports programmers’ search behaviour for software technology learning resources to inform resource creators on important factors that programmers look for during their search.
这是你的提示!使用资源样式属性协助搜索行为
在学习一种软件技术时,程序员要面对各种不同风格的资源,以满足不同的需求。尽管搜索引擎有助于过滤相关资源,但程序员仍然需要手动浏览大量资源,才能找到与他们的需求相关的资源。先前的工作主要集中在帮助程序员找到资源中相关信息的精确位置。我们的工作重点是帮助程序员评估资源的相关性,以区分不同的资源。我们通过日记和访谈研究调查了程序员如何在网上找到学习资源,并观察到程序员使用某些线索来决定是否访问资源。基于我们的发现,我们调查了我们可以通过原型工具支持线索跟踪过程的程度。我们的研究支持程序员对软件技术学习资源的搜索行为,以告知资源创建者程序员在搜索过程中寻找的重要因素。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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