Recognizing eye tracking traits for source code review
Abstract
Source code review is a core activity in software engineering where a reviewer examines the code with the intention of finding bugs in the program. A lot of research has been carried out in understanding how software engineers perform code comprehension; however contribution of eye tracking traits seems to have not been addressed. This paper outlines a study conducted in an industrial environment of software engineers. It focused on understanding the visual attention of subjects with programming skills and subjects without programming skills and recognize the eye tracking traits required for source code review. The results indicate a significant difference in gaze behaviors of these groups. The key aspects of subjects with programming skills while source code review are required to have certain eye tracking traits like better code coverage, attention span on error lines and comments.
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There is a correlation between fixation duration on buggy code and the number of bugs found.
“Chandrika et al. [16] found that there is a correlation between the fixation duration on buggy code and the number of bugs found.”
From Same Scrutiny, More Time: Eye Tracking Insights into Reviewing LLM-Labelled Code (2026) · cites this paper as [16]
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Same Scrutiny, More Time: Eye Tracking Insights into Reviewing LLM-Labelled Code
Khojah, R., Gomes de Oliveira Neto, F., Mohamad, M., Frattini, J., & Leitner, P. (2026) · Proceedings of the 41st IEEE/ACM International Conference on Automated Software Engineering · doi:10.1145/3832783.3834423
- Authors
- Chandrika, K. R., Amudha, J., & Sudarsan, S. D.
- Affiliations
- Amrita Vishwa Vidyapeetham (IN)
- ABB (India) (IN)
- Venue
- 2017 22nd IEEE International Conference on Emerging Technologies and Factory Automation (ETFA)
- Publisher
- IEEE
- Published
- 2017-09
- Pages
- 1-8
- OpenAlex
- W2783179294
- Cited by
- 23
- References
- 0
- Citations by year
- 2025: 3 · 2024: 3 · 2023: 2 · 2022: 2 · 2021: 5 · 2020: 4 · 2019: 3 · 2018: 1
- FWCI
- 1.68
- Type
- conference paper
- Language
- en
- Open access
- closed
- Locations
- IEEE International Conference on Emerging Technologies and Factory Automation (ETFA) (publishedVersion)
- Topics
- Physical Sciences › Computer Science › Information Systems › Software Engineering Research
- Physical Sciences › Computer Science › Human-Computer Interaction › Gaze Tracking and Assistive Technology
- Physical Sciences › Computer Science › Information Systems › Software Engineering Techniques and Practices
- Keywords
- eye tracking, code review, visual attention, gaze behavior, programming skills, program comprehension, software developers, code coverage, attention span
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