捕获架构文档导航路径,用于内容分块和共享

M. T. Su, J. Hosking, J. Grundy
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引用次数: 11

摘要

浏览和理解复杂的软件架构文档通常具有挑战性。为了支持在架构文档(ADs)中查找相关信息,我们提出了一种基于以前用户对ADs的实际使用情况的半自动化方法,即通过捕获用户通过ADs的探索路径,并使这些路径可用于将来的回溯和分析。为此,我们构建了一个原型工具(KaitoroCap),它可以捕获用户的AD探索路径,并将其保存为上下文元数据。KaitoroCap在分层树视图中显示探索路径,并且可以搜索这些探索路径。这有助于回忆以前的导航,并遵循其他有用的路径在AD中查找相关信息。我们的方法还可以对广告进行动态重组,并结合用户对广告内容的评级、标记和评论。初步的用户评估显示出令人鼓舞的结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Capturing Architecture Documentation Navigation Trails for Content Chunking and Sharing
Navigating and understanding complex software architecture documentation is often challenging. To support finding relevant information in architecture documents (ADs), we propose a semi-automated approach based on the actual usage of ADs by previous users, i.e. by capturing users' exploration paths through ADs and making these paths available for future retracing and analysis. To do this, we have built a prototype tool (KaitoroCap) that captures users' AD exploration paths and saves them with contextual metadata. KaitoroCap displays the exploration paths in hierarchical tree views and these exploration paths can be searched. This is helpful for recalling previous navigations and to follow others' useful paths in finding relevant information in AD. Our approach also enables dynamic restructuring of ADs and incorporates user rating, tagging and commenting of the content of ADs. Initial user evaluation shows promising results.
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