Cited by 174Software Engineering ResearchUsability and User Interface DesignData Visualization and Analytics

Code bubbles: a working set-based interface for code understanding and maintenance

Open access
Bragdon, Andrew, Zeleznik, Robert, Reiss, Steven P., Karumuri, Suman, Cheung, William, Kaplan, Joshua, Coleman, Christopher, Adeputra, Ferdi +1 more·2010·Proceedings of the SIGCHI Conference on Human Factors in Computing Systems

Abstract

Developers spend significant time reading and navigating code fragments spread across multiple locations. The file-based nature of contemporary IDEs makes it prohibitively difficult to create and maintain a simultaneous view of such fragments. We propose a novel user interface metaphor for code understanding based on collections of lightweight, editable fragments called bubbles, which form concurrently visible working sets. We present the results of a qualitative usability evaluation, and the results of a quantitative study which indicates Code Bubbles significantly improved code understanding time, while reducing navigation interactions over a widely-used IDE, for two controlled tasks.

Integrity signals

Registry

Crossref · 10.1145/1753326.1753706

Cites

24 of 24 references verified0 citation errors · 0 not checkable

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  • Explicitly captured task context can lower the cognitive burden on developers and increase productivity.

    “While studies have shown that the explicitly captured task context can lower the cognitive burden on developers and increase productivity [6], [12]”

    From Detecting Developers' Task Switches and Types (2022) · cites this paper as [12]

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Authors
Bragdon, A., Zeleznik, R., Reiss, S. P., Karumuri, S., Cheung, W., Kaplan, J., Coleman, C., Adeputra, F., & LaViola, J. J.
Affiliations
  • Brown University (US)
  • University of Central Florida (US)
Venue
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Publisher
ACM
Published
2010-04-10
Pages
2503-2512
OpenAlex
W2148389674
Cited by
174
References
24
Citations by year
2026: 8 · 2025: 7 · 2024: 6 · 2023: 8 · 2022: 16 · 2021: 6 · 2020: 11 · 2019: 8 · 2018: 7 · 2017: 13 · 2016: 11 · 2015: 15 · 2014: 16 · 2013: 11 · 2012: 11
FWCI
9.40
Type
conference paper
Language
en
Open access
Locations
  • CHI Conference on Human Factors in Computing Systems (publishedVersion)
  • Journal of International Crisis and Risk Communication Research (submittedVersion)
Funders
National Science Foundation
Topics
  • Physical Sciences › Computer Science › Information Systems › Software Engineering Research
  • Physical Sciences › Computer Science › Human-Computer Interaction › Usability and User Interface Design
  • Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Data Visualization and Analytics
Keywords
code navigation, program comprehension, software development environment, user interface metaphors, working set, code fragments

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