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iTrace: enabling eye tracking on software artifacts within the IDE to support software engineering tasks

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Bonita SharifAuthors Info & Claims

ESEC/FSE 2015: Proceedings of the 2015 10th Joint Meeting on Foundations of Software Engineering

Pages 954 - 957

https://doi.org/10.1145/2786805.2803188

Published: 30 August 2015 Publication History

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Abstract

The paper presents iTrace, an Eclipse plugin that implicitly records developers' eye movements while they work on change tasks. iTrace is the first eye tracking environment that makes it possible for researchers to conduct eye tracking studies on large software systems. An overview of the design and architecture is presented along with features and usage scenarios. iTrace is designed to support a variety of eye trackers. The design is flexible enough to record eye movements on various types of software artifacts (Java code, text/html/xml documents, diagrams), as well as IDE user interface elements. The plugin has been successfully used for software traceability tasks and program comprehension tasks. iTrace is also applicable to other tasks such as code summarization and code recommendations based on developer eye movements. A short video demonstration is available at https://youtu.be/3OUnLCX4dXo.

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Cited By

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Weber TWiniker CMayer S(2024)An Investigation of How Software Developers Read Machine Learning CodeProceedings of the 18th ACM/IEEE International Symposium on Empirical Software Engineering and Measurement10.1145/3674805.3686678(165-176)Online publication date: 24-Oct-2024
https://dl.acm.org/doi/10.1145/3674805.3686678
Zeng JLiu WZhou YLi XCheng WRuan Q(2024)A New Visualization Framework for Multimodal Programming Attention in Debugging TestProceedings of the ACM Turing Award Celebration Conference - China 202410.1145/3674399.3674422(35-41)Online publication date: 5-Jul-2024
https://dl.acm.org/doi/10.1145/3674399.3674422
Karas ZBansal AZhang YLi TMcMillan CHuang Y(2024)A Tale of Two Comprehensions? Analyzing Student Programmer Attention during Code SummarizationACM Transactions on Software Engineering and Methodology10.1145/366480833:7(1-37)Online publication date: 26-Aug-2024
https://dl.acm.org/doi/10.1145/3664808
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Index Terms

iTrace: enabling eye tracking on software artifacts within the IDE to support software engineering tasks
1. Social and professional topics
  1. Professional topics
    1. Management of computing and information systems
      1. Software management
        Software maintenance
2. Software and its engineering
  1. Software creation and management
    1. Software post-development issues

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Published In

ESEC/FSE 2015: Proceedings of the 2015 10th Joint Meeting on Foundations of Software Engineering

August 2015

1068 pages

ISBN:9781450336758

DOI:10.1145/2786805

General Chair:
Elisabetta Di Nitto
Politecnico di Milano, Italy
,
Program Chairs:
Mark Harman
University College London, UK
,
Patrick Heymans
University of Namur, Belgium

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

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Published: 30 August 2015

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ESEC/FSE'15

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SIGSOFT

ESEC/FSE'15: Joint Meeting of the European Software Engineering Conference and the ACM SIGSOFT Symposium on the Foundations of Software Engineering

August 30 - September 4, 2015

Bergamo, Italy

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Weber TWiniker CMayer S(2024)An Investigation of How Software Developers Read Machine Learning CodeProceedings of the 18th ACM/IEEE International Symposium on Empirical Software Engineering and Measurement10.1145/3674805.3686678(165-176)Online publication date: 24-Oct-2024
https://dl.acm.org/doi/10.1145/3674805.3686678
Zeng JLiu WZhou YLi XCheng WRuan Q(2024)A New Visualization Framework for Multimodal Programming Attention in Debugging TestProceedings of the ACM Turing Award Celebration Conference - China 202410.1145/3674399.3674422(35-41)Online publication date: 5-Jul-2024
https://dl.acm.org/doi/10.1145/3674399.3674422
Karas ZBansal AZhang YLi TMcMillan CHuang Y(2024)A Tale of Two Comprehensions? Analyzing Student Programmer Attention during Code SummarizationACM Transactions on Software Engineering and Methodology10.1145/366480833:7(1-37)Online publication date: 26-Aug-2024
https://dl.acm.org/doi/10.1145/3664808
Stolp FStellmacher MArnrich Bd'Amorim M(2024)CognitIDE: An IDE Plugin for Mapping Physiological Measurements to Source CodeCompanion Proceedings of the 32nd ACM International Conference on the Foundations of Software Engineering10.1145/3663529.3663805(592-596)Online publication date: 10-Jul-2024
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Yabesi SAmini MRistic JSharafi ZBaysal OLinares-Vasquez MMoran KSteinmacher I(2024)Exploring the Effects of Urgency and Reputation in Code Review: An Eye-Tracking StudyProceedings of the 32nd IEEE/ACM International Conference on Program Comprehension10.1145/3643916.3644425(202-213)Online publication date: 15-Apr-2024
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Zhang YLi JKaras ZBansal ALi TMcMillan CLeach KHuang Y(2024)EyeTrans: Merging Human and Machine Attention for Neural Code SummarizationProceedings of the ACM on Software Engineering10.1145/36437321:FSE(115-136)Online publication date: 12-Jul-2024
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Tang NAn JChen MBansal AHuang YMcMillan CLi TRoychoudhury APaiva AAbreu RStorey M(2024)CodeGRITS: A Research Toolkit for Developer Behavior and Eye Tracking in IDEProceedings of the 2024 IEEE/ACM 46th International Conference on Software Engineering: Companion Proceedings10.1145/3639478.3640037(119-123)Online publication date: 14-Apr-2024
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Sparmann SHüsing SSchulte C(2023)JuGaze: A Cell-based Eye Tracking and Logging Tool for Jupyter NotebooksProceedings of the 23rd Koli Calling International Conference on Computing Education Research10.1145/3631802.3631824(1-11)Online publication date: 13-Nov-2023
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Weber TMourao Thiel RMayer S(2023)Supporting Software Developers Through a Gaze-Based Adaptive IDEProceedings of Mensch und Computer 202310.1145/3603555.3603571(267-276)Online publication date: 3-Sep-2023
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Aljehane SSharif BMaletic J(2023)Studying Developer Eye Movements to Measure Cognitive Workload and Visual Effort for Expertise AssessmentProceedings of the ACM on Human-Computer Interaction10.1145/35911357:ETRA(1-18)Online publication date: 18-May-2023
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Compensation of head movements in mobile eye-tracking data using an inertial measurement unit

Conducting Eye Tracking Studies in Software Engineering - Methodology and Pipeline

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