Too Long; Didn't Watch! Extracting Relevant Fragments from Software Development Video Tutorials

Luca Ponzanelli, G. Bavota, Andrea Mocci, M. D. Penta, R. Oliveto, Mir Anamul Hasan, B. Russo, S. Haiduc, Michele Lanza
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引用次数: 71

Abstract

When knowledgeable colleagues are not available, developers resort to offline and online resources, e.g., tutorials, mailing lists, and Q&A websites. These, however, need to be found, read, and understood, which takes its toll in terms of time and mental energy. A more immediate and accessible resource are video tutorials found on the web, which in recent years have seen a steep increase in popularity. Nonetheless, videos are an intrinsically noisy data source, and finding the right piece of information might be even more cumbersome than using the previously mentioned resources. We present CodeTube, an approach which mines video tutorials found on the web, and enables developers to query their contents. The video tutorials are split into coherent fragments, to return only fragments related to the query. These are complemented with information from additional sources, such as Stack Overflow discussions. The results of two studies to assess CodeTube indicate that video tutorials—if appropriately processed—represent a useful, yet still under-utilized source of information for software development.
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太长时间;没看!从软件开发视频教程中提取相关片段
当没有知识渊博的同事时,开发人员求助于离线和在线资源,例如教程、邮件列表和问答网站。然而,这些需要被发现、阅读和理解,这需要花费时间和精力。更直接和更容易获得的资源是在网络上找到的视频教程,近年来它的受欢迎程度急剧上升。尽管如此,视频本质上是一个嘈杂的数据源,找到正确的信息可能比使用前面提到的资源更麻烦。我们介绍CodeTube,一种挖掘在网络上找到的视频教程的方法,并使开发人员能够查询其内容。视频教程被分割成连贯的片段,只返回与查询相关的片段。这些补充了来自其他来源的信息,例如堆栈溢出讨论。对CodeTube进行评估的两项研究结果表明,视频教程——如果处理得当的话——是一种有用的、但仍未得到充分利用的软件开发信息源。
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