T(r)opical Islands: Visualizing & Understanding Socio-Technical Artifacts

2026-09-04

AI Summary

本文提出一种3D可视化方法，通过将项目中的社会技术工件映射到覆盖植被的岛屿上来解决其分散和分析困难的问题，利用机器学习技术进行聚类和主题提取。

Abstract

Projects hosted on collaborative software development platforms, such as GitHub, include many non-code artifacts documenting the project's lifecycle, with its challenges, plans, design, and even community. These socio-technical artifacts include, for example, bug reports, feature requests, and forum posts, offering a useful prospect on the project's evolution. However, these artifacts are dispersed over multiple communication channels and written in natural language, making their analysis difficult, as they are fragmented and with considerable noise. We present a 3D visualization approach mapping topics found across a project's socio-technical artifacts onto vegetation-covered islands, where the individual artifacts are depicted as trees of various types. The topic islands rise out of the ocean as they become discussed, to sink again when they are no longer so. We built a prototype implementing the entire visualization pipeline, from data mining to interactive rendering, leveraging machine learning techniques to cluster the artifacts and extract their topics. We present, through several case studies, the insights that our approach elicits about discussions of development topics throughout a project's history. The user study we conducted (N=34) further strengthens our conclusions about its suitability for understanding socio-technical artifacts and their evolution.

Problem

• socio-technical artifacts
• collaborative software development platforms
• natural language
• fragmented information
• noise

Innovation

• 3D visualization
• socio-technical artifacts
• machine learning
• topic clustering