VLDB 2026 Research / reviewers in the wild / expert
Julia Pangonis
dblp:366/5176
· DBLP profile ↗
2ranked-venue papers
0as first author
2since 2021 · last 2024
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Software engineering, systems software and programming languages · 2 · 2 since 2021Human-computer interaction and ubiquitous computing · 2 · 2 since 2021
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2024 | Extending iTrace-Visualize to Support Token-based Heatmaps and Region of Interest Scarf Plots for Source CodeabstractThe 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 Joshua Behler, Giovanni Villalobos, Julia Pangonis, Bonita Sharif, Jonathan I. Maletic |
VISSOFT | 3 |
| 2023 | iTrace-Visualize: Visualizing Eye-Tracking Data for Software Engineering StudiesabstractiTrace is community infrastructure that allows software engineering researchers to conduct eye-tracking studies on large realistic code bases. The iTrace infrastructure consists of a set of tools that assist with gathering, processing, and evaluating eye-tracking data on large software projects within an Integrated Development Environment (IDE). A typical eye-tracking study results in millions of raw gazes that are overwhelming to view and sort through. To help researchers view and comprehend this data, iTrace-Visualize is presented. This tool integrates information produced by the iTrace infrastructure into a dynamic video recording of the eye-tracking session. Eye fixations and the scan path between fixations are overlayed on the video. Additionally, the line being examined can be highlighted in the video. iTrace-Visualize lets a researcher replay eye fixations via a video overlay immediately after a study. This serves as quick validation of what was done during the study and can also provide quick insights into what the participants looked at. To illustrate iTrace-Visualize's capabilities, a small preliminary study is performed. Demo Video-https://youtu.be/c1hUFDmBM50 Joshua Behler, Gino Chiudioni, Alex Ely, Julia Pangonis, Bonita Sharif, Jonathan I. Maletic |
VISSOFT | 4 |