Extending iTrace-Visualize to Support Token-based Heatmaps and Region of Interest Scarf Plots for Source Code

The iTrace Infrastructure is a suite of community eye-tracking tools that enables researchers to conduct eye-tracking studies on software projects in real development environments. The infrastructure consists of tools providing support for data gathering, post processing, and visualization. iTrace-Visualize provides researchers with a way to visualize gathered and post-processed eye-movement data. iTrace involves the analysis of more than just eye-movement data, and includes information gathered from the development environment and the source code. This work describes additions to iTrace-Visualize that provide researchers with visualizations of the gathered source code data. Specifically, a tokenized heatmap of the source code is presented, which shows the source code tokens that are viewed the most. Additionally, a region of interest scarf plot that details the timeline of what parts of the code a participant views is added as a new feature. A usage example comparing student and industry developers is presented to demonstrate the use of these tools. Demo Video: https://youtu.be/0iZcCC8CK94

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Publication Details

Published
2024-10-06
DOI
https://doi.org/10.1109/vissoft64034.2024.00027
Citations
4
Primary Topic
Security and Verification in Computing
Type
article
Field-Weighted Citation Impact
1.39
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article

Extending iTrace-Visualize to Support Token-based Heatmaps and Region of Interest Scarf Plots for Source Code

Joshua A.C. Behler, Jonathan I. Maletic, Bonita Sharif, Julia Pangonis et al.
4 citations
Security and Verification in Computing
1.39
article

Extending iTrace-Visualize to Support Token-based Heatmaps and Region of Interest Scarf Plots for Source Code

Joshua A.C. Behler, Jonathan I. Maletic, Bonita Sharif, Julia Pangonis, Giovanni Villalobos
article en
4 citations

Abstract

The iTrace Infrastructure is a suite of community eye-tracking tools that enables researchers to conduct eye-tracking studies on software projects in real development environments. The infrastructure consists of tools providing support for data gathering, post processing, and visualization. iTrace-Visualize provides researchers with a way to visualize gathered and post-processed eye-movement data. iTrace involves the analysis of more than just eye-movement data, and includes information gathered from the development environment and the source code. This work describes additions to iTrace-Visualize that provide researchers with visualizations of the gathered source code data. Specifically, a tokenized heatmap of the source code is presented, which shows the source code tokens that are viewed the most. Additionally, a region of interest scarf plot that details the timeline of what parts of the code a participant views is added as a new feature. A usage example comparing student and industry developers is presented to demonstrate the use of these tools. Demo Video: https://youtu.be/0iZcCC8CK94

University of Nebraska–Lincoln (US), Kent State University (US)
Openalex Percentile: Top 15%
Security and Verification in Computing
1.39
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Extending iTrace-Visualize to Support Token-based Heatmaps and Region of Interest Scarf Plots for Source Code — Joshua A.C. Behler, Jonathan I. Maletic, et al. · (2024) | TGRS Research Map | TGRS