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Studying developer gaze to empower software engineering research and practice

Authors:

Benjamin Clark,

Jonathan I. MaleticAuthors Info & Claims

FSE 2016: Proceedings of the 2016 24th ACM SIGSOFT International Symposium on Foundations of Software Engineering

Pages 940 - 943

https://doi.org/10.1145/2950290.2983988

Published: 01 November 2016 Publication History

Abstract

A new research paradigm is proposed that leverages developer eye gaze to improve the state of the art in software engineering research and practice. The vision of this new paradigm for use on software engineering tasks such as code summarization, code recommendations, prediction, and continuous traceability is described. Based on this new paradigm, it is foreseen that new benchmarks will emerge based on developer gaze. The research borrows from cognitive psychology, artificial intelligence, information retrieval, and data mining. It is hypothesized that new algorithms will be discovered that work with eye gaze data to help improve current IDEs, thus improving developer productivity. Conducting empirical studies using an eye tracker will lead to inventing, evaluating, and applying innovative methods and tools that use eye gaze to support the developer. The implications and challenges of this paradigm for future software engineering research is discussed.

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Cited By

Kuang PSöderberg ENiehorster DHöst M(2023)Toward Gaze-assisted Developer Tools2023 IEEE/ACM 45th International Conference on Software Engineering: New Ideas and Emerging Results (ICSE-NIER)10.1109/ICSE-NIER58687.2023.00015(49-54)Online publication date: May-2023
https://doi.org/10.1109/ICSE-NIER58687.2023.00015
Sharif BMansoor N(2022)Humans in Empirical Software Engineering Studies: An Experience Report2022 IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER)10.1109/SANER53432.2022.00154(1286-1292)Online publication date: Mar-2022
https://doi.org/10.1109/SANER53432.2022.00154
Ioannou CBakgaard PKindler EWeber B(2020)Towards a tool for visualizing pupil dilation linked with source code artifacts2020 Working Conference on Software Visualization (VISSOFT)10.1109/VISSOFT51673.2020.00016(105-109)Online publication date: Sep-2020
https://doi.org/10.1109/VISSOFT51673.2020.00016
Show More Cited By

Index Terms

Studying developer gaze to empower software engineering research and practice
1. Software and its engineering
  1. Software creation and management

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Information & Contributors

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Published In

cover image ACM Conferences

FSE 2016: Proceedings of the 2016 24th ACM SIGSOFT International Symposium on Foundations of Software Engineering

November 2016

1156 pages

ISBN:9781450342186

DOI:10.1145/2950290

General Chair:
Thomas Zimmermann
Microsoft Research, USA
,
Program Chairs:
Jane Cleland-Huang
University of Notre Dame, USA
,
Zhendong Su
University of California at Davis, USA

Copyright © 2016 ACM.

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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SIGSOFT: ACM Special Interest Group on Software Engineering

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 01 November 2016

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National Science Foundation

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FSE'16

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SIGSOFT

FSE'16: 24nd ACM SIGSOFT International Symposium on the Foundations of Software Engineering

November 13 - 18, 2016

WA, Seattle, USA

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Overall Acceptance Rate 17 of 128 submissions, 13%

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Cited By

Kuang PSöderberg ENiehorster DHöst M(2023)Toward Gaze-assisted Developer Tools2023 IEEE/ACM 45th International Conference on Software Engineering: New Ideas and Emerging Results (ICSE-NIER)10.1109/ICSE-NIER58687.2023.00015(49-54)Online publication date: May-2023
https://doi.org/10.1109/ICSE-NIER58687.2023.00015
Sharif BMansoor N(2022)Humans in Empirical Software Engineering Studies: An Experience Report2022 IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER)10.1109/SANER53432.2022.00154(1286-1292)Online publication date: Mar-2022
https://doi.org/10.1109/SANER53432.2022.00154
Ioannou CBakgaard PKindler EWeber B(2020)Towards a tool for visualizing pupil dilation linked with source code artifacts2020 Working Conference on Software Visualization (VISSOFT)10.1109/VISSOFT51673.2020.00016(105-109)Online publication date: Sep-2020
https://doi.org/10.1109/VISSOFT51673.2020.00016
Fagerholm FFritz T(2020)Biometric Measurement in Software EngineeringContemporary Empirical Methods in Software Engineering10.1007/978-3-030-32489-6_6(151-172)Online publication date: 28-Aug-2020
https://doi.org/10.1007/978-3-030-32489-6_6
Guarnera DBryant CMishra AMaletic JSharif BSharif BKrejtz K(2018)iTraceProceedings of the 2018 ACM Symposium on Eye Tracking Research & Applications10.1145/3204493.3208343(1-3)Online publication date: 14-Jun-2018
https://dl.acm.org/doi/10.1145/3204493.3208343

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