Determining Differences in Reading Behavior Between Experts and Novices by Investigating Eye Movement on Source Code Constructs During a Bug Fixing Task

Author:

Aljehane Salwa1,Sharif Bonita2,Maletic Jonathan1

Affiliation:

1. Kent State University, United States

2. Computer Science and Engineering University of Nebraska - Lincoln, United States

Publisher

ACM

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. On Eye Tracking in Software Engineering;SN Computer Science;2024-07-26

2. Predicting Code Comprehension: A Novel Approach to Align Human Gaze with Code using Deep Neural Networks;Proceedings of the ACM on Software Engineering;2024-07-12

3. An eye tracking study assessing the impact of background styling in code editors on novice programmers’ code understanding;Proceedings of the 2023 ACM Conference on International Computing Education Research V.1;2023-08-07

4. Studying Developer Eye Movements to Measure Cognitive Workload and Visual Effort for Expertise Assessment;Proceedings of the ACM on Human-Computer Interaction;2023-05-17

5. Toward Gaze-assisted Developer Tools;2023 IEEE/ACM 45th International Conference on Software Engineering: New Ideas and Emerging Results (ICSE-NIER);2023-05

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