@inproceedings{21978b178393452a981141f260d45f18,
title = "ScvRipper: Video Scraping Tool for Modeling Developers' Behavior Using Interaction Data",
abstract = "Screen-capture tool can record a user's interaction with software and application content as a stream of screenshots which is usually stored in certain video format. Researchers have used screen-captured videos to study the programming activities that the developers carry out. In these studies, screen-captured videos had to be manually transcribed to extract software usage and application content data for the study purpose. This paper presents a computer-vision based video scraping tool (called scvRipper) that can automatically transcribe a screen-captured video into time-series interaction data according to the analyst's need. This tool can address the increasing need for automatic behavioral data collection methods in the studies of human aspects of software engineering. Demo video: https://www.youtube.com/watch?v=DElYOhids8Y.",
keywords = "Interaction Data, Video Scraping",
author = "Lingfeng Bao and Jing Li and Zhenchang Xing and Xinyu Wang and Bo Zhou",
note = "Publisher Copyright: {\textcopyright} 2015 IEEE.; 37th IEEE/ACM International Conference on Software Engineering, ICSE 2015 ; Conference date: 16-05-2015 Through 24-05-2015",
year = "2015",
month = aug,
day = "12",
doi = "10.1109/ICSE.2015.220",
language = "English",
series = "Proceedings - International Conference on Software Engineering",
publisher = "IEEE Computer Society",
pages = "673--676",
booktitle = "Proceedings - 2015 IEEE/ACM 37th IEEE International Conference on Software Engineering, ICSE 2015",
address = "United States",
}