Paper Info
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
Year
DOI
Venue
2015
10.1109/ICSE.2015.220
ICSE
Field
DocType
Volume
Computer science,Human–computer interaction,Behavioral data,Software,Safety assurance,Software usage,Multimedia
Conference
2
ISBN
Citations 
PageRank 
978-1-4503-4205-6
5
0.40
References 
Authors
11
5
Name
Order
Citations
PageRank
Lingfeng Bao113414.31
Jing Li210813.74
Zhenchang Xing3138787.95
xinyu459030.19
Bo Zhou5323.26