Text Retrieval-Based Tagging of Software Engineering Video Tutorials

Video tutorials are an emerging form of documentation in software engineering and can efficiently provide developers with useful information needed for their daily tasks. However, to get the information they need, developers have to find the right tutorial for their task at hand. Currently, there is little information available to quickly judge whether a tutorial is relevant to a topic or helpful to the task at hand, which can lead to missing the best tutorials and wasting time watching irrelevant ones. We present the first efforts towards new tagging approaches using text retrieval that describe the contents of software engineering video tutorials, making it easier and faster to understand their purpose and contents. We also present the results of a preliminary evaluation of thirteen such approaches, revealing the potential of some and limitations of others.