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Recognizing eye tracking traits for source code review

Publication Type : Conference Proceedings

Publisher : IEEE International Conference on Emerging Technologies and Factory Automation, ETFA

Source : IEEE International Conference on Emerging Technologies and Factory Automation, ETFA, Institute of Electrical and Electronics Engineers Inc., Volume Part F134116, p.1-8 (2018)

Url : https://www.scopus.com/inward/record.uri?eid=2-s2.0-85044474949&doi=10.1109%2fETFA.2017.8247637&partnerID=40&md5=286e7a9b234a5f7aaae4c5d4f25fedd1

ISBN : 9781509065059

Keywords : Behavioral research, Code comprehension, Codes (symbols), Computer programming languages, Core activity, Eye Tracking, Factory automation, Gaze behavior, Industrial environments, Program debugging, Programming skills, Software engineering, Source code comprehensions, Source-code reviews, Visual Attention

Campus : Bengaluru

School : Department of Computer Science and Engineering, School of Engineering

Department : Computer Science

Year : 2018

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. ©2017 IEEE.

Cite this Research Publication : K. R. Chandrika, Amudha J., and Sudarsan, S. D., “Recognizing eye tracking traits for source code review”, IEEE International Conference on Emerging Technologies and Factory Automation, ETFA, vol. Part F134116. Institute of Electrical and Electronics Engineers Inc., pp. 1-8, 2018.

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