iTrace-Toolkit: A Pipeline for Analyzing Eye-Tracking Data of Software Engineering Studies
Author:
Affiliation:
1. Kent State University,Department of Computer Science,Kent,Ohio,USA
2. College of Wooster,Department of Mathematical and Computer Sciences,Wooster,Ohio,USA
3. School of Computing, University of Nebraska-Lincoln,Lincoln,Nebraska,USA
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10172482/10172487/10172570.pdf?arnumber=10172570
Reference10 articles.
1. Lightweight Transformation and Fact Extraction with the srcML Toolkit
2. srcML: An Infrastructure for the Exploration, Analysis, and Manipulation of Source Code: A Tool Demonstration
3. Real-time and Offline Filters for Eye Tracking;olsson;Master's thesis KTH Electrical Engineering Stockholm,2007
4. gazel: Supporting Source Code Edits in Eye-Tracking Studies
5. Identifying fixations and saccades in eye-tracking protocols
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3. iTrace-Visualize: Visualizing Eye-Tracking Data for Software Engineering Studies;2023 IEEE Working Conference on Software Visualization (VISSOFT);2023-10-01
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