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research-article

Tracking Developers' Eyes in the IDE

Published: 01 May 2016 Publication History

Abstract

With recorded eye gaze sessions, researchers will be able to determine all the locations that developers examine in software development artifacts. This will pave the way to further improve IDEs to support developers in various software engineering tasks. Toward that goal, researchers developed iTrace, software that interfaces with an eye tracker and IDE to capture eye gaze on software artifacts and map them to their semantic meaning.

Cited By

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  • (2024)Encoding Version History Context for Better Code RepresentationProceedings of the 21st International Conference on Mining Software Repositories10.1145/3643991.3644929(631-636)Online publication date: 15-Apr-2024
  • (2023)Conducting Eye Tracking Studies in Software Engineering - Methodology and PipelineProceedings of the 45th International Conference on Software Engineering: Companion Proceedings10.1109/ICSE-Companion58688.2023.00097(340-341)Online publication date: 14-May-2023
  • (2022)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 analysesEmpirical Software Engineering10.1007/s10664-022-10209-327:7Online publication date: 1-Dec-2022
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Published In

cover image IEEE Software
IEEE Software  Volume 33, Issue 3
May 2016
103 pages

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IEEE Computer Society Press

Washington, DC, United States

Publication History

Published: 01 May 2016

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Cited By

View all
  • (2024)Encoding Version History Context for Better Code RepresentationProceedings of the 21st International Conference on Mining Software Repositories10.1145/3643991.3644929(631-636)Online publication date: 15-Apr-2024
  • (2023)Conducting Eye Tracking Studies in Software Engineering - Methodology and PipelineProceedings of the 45th International Conference on Software Engineering: Companion Proceedings10.1109/ICSE-Companion58688.2023.00097(340-341)Online publication date: 14-May-2023
  • (2022)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 analysesEmpirical Software Engineering10.1007/s10664-022-10209-327:7Online publication date: 1-Dec-2022
  • (2020)Observations on the Linear Order of Program Code Reading Patterns in Programmers with DyslexiaProceedings of the 24th International Conference on Evaluation and Assessment in Software Engineering10.1145/3383219.3383228(81-89)Online publication date: 15-Apr-2020
  • (2019)Looks can mean achievingProceedings of the 11th ACM Symposium on Eye Tracking Research & Applications10.1145/3314111.3322876(1-3)Online publication date: 25-Jun-2019
  • (2019)A replication study on code comprehension and expertise using lightweight biometric sensorsProceedings of the 27th International Conference on Program Comprehension10.1109/ICPC.2019.00050(311-322)Online publication date: 25-May-2019
  • (2019)Eye tracking analysis of computer program comprehension in programmers with dyslexiaEmpirical Software Engineering10.1007/s10664-018-9649-y24:3(1109-1154)Online publication date: 1-Jun-2019
  • (2018)DazedProceedings of the 40th International Conference on Software Engineering: New Ideas and Emerging Results10.1145/3183399.3183415(93-96)Online publication date: 27-May-2018

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