iTrace: Overcoming the Limitations of Short Code Examples in Eye Tracking Experiments
Author:
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/7807393/7816432/07816534.pdf?arnumber=7816534
Cited by 9 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. iTrace-Visualize: Visualizing Eye-Tracking Data for Software Engineering Studies;2023 IEEE Working Conference on Software Visualization (VISSOFT);2023-10-01
2. Conducting Eye Tracking Studies in Software Engineering - Methodology and Pipeline;2023 IEEE/ACM 45th International Conference on Software Engineering: Companion Proceedings (ICSE-Companion);2023-05
3. How Readable is Model-generated Code? Examining Readability and Visual Inspection of GitHub Copilot;Proceedings of the 37th IEEE/ACM International Conference on Automated Software Engineering;2022-10-10
4. Deja Vu: semantics-aware recording and replay of high-speed eye tracking and interaction data to support cognitive studies of software engineering tasks—methodology and analyses;Empirical Software Engineering;2022-09-20
5. Analysis of software developers’ coding behavior: A survey of visualization analysis techniques using eye trackers;Computers in Human Behavior Reports;2022-08
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