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arXiv 2103.11705cs.SE
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探索网络搜索引擎寻找建筑知识

Exploring Web Search Engines to Find Architectural Knowledge

Mohamed Soliman, Marion Wiese, Yikun Li, Matthias Riebisch, Paris Avgeriou

摘要:

软件工程师需要相关的和最新的架构知识(AK),以便做出有根据的设计决策。然而,找到这样的AK是相当具有挑战性的。一种实用的方法是使用传统的搜索引擎(例如Google)在Web上搜索AK;这是软件工程师的常见做法。尽管如此,我们对AK是从哪里取回的,以及它有多有用知之甚少。在本文中,我们进行了实证研究,53名软件工程师,谁使用谷歌使用属性驱动设计方法进行设计决策。基于受试者如何评估检索结果的性质和相关性,我们确定了网络搜索引擎找到相关建筑信息的有效性。此外,我们确定了网络上AK的不同来源及其相关的AK概念。

英文摘要:

Software engineers need relevant and up-to-date architectural knowledge (AK), in order to make well-founded design decisions. However, finding such AK is quite challenging. One pragmatic approach is to search for AK on the web using traditional search engines (e.g. Google); this is common practice among software engineers. Still, we know very little about what AK is retrieved, from where, and how useful it is. In this paper, we conduct an empirical study with 53 software engineers, who used Google to make design decisions using the Attribute-Driven-Design method. Based on how the subjects assessed the nature and relevance of the retrieved results, we determined how effective web search engines are to find relevant architectural information. Moreover, we identified the different sources of AK on the web and their associated AK concepts.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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