Publication Type

Conference Proceeding Article

Version

publishedVersion

Publication Date

3-2022

Abstract

Programming videos on the Internet are valuable resources for learning programming skills. To find relevant videos, developers typically search online video platforms (e.g., YouTube) with keywords on topics they wish to learn. Developers often look for live-coding screencasts, in which the videos’ authors perform live coding. Yet, not all programming videos are livecoding screencasts. In this work, we develop a tool named PSFinder to identify live-coding screencasts. PSFinder leverages a classifier to identify whether a video frame contains an IDE window. It uses a sampling strategy to pick a number of frames from an input video, runs the classifer on these frames, and then determines whether the video is a live-coding screencast based on frames classified as containing IDE window. In our preliminary experiment, PSFinder can effectively identify livecoding screencasts as it achieves an F1-score of 0.97.

Keywords

Classification, Live-coding screencast, Search

Discipline

Databases and Information Systems

Research Areas

Data Science and Engineering

Publication

Proceedings of the 2022 IEEE International Conference on Software Analysis, Evolution and Reengineering, Honolulu, HI, USA, March 15-18

Identifier

10.1109/SANER53432.2022.00021

Publisher

Institute of Electrical and Electronics Engineers

City or Country

New Jersey

Additional URL

https://doi.org/10.1109/SANER53432.2022.00021

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