.png){kind=icon}
.png){kind=icon}
Return
Visualizing and exploring software version control repositories using interactive tag clouds over formal concept lattices
.png){kind=icon}
PRE
AI
G
M
B
DOI：10.1016/j.infsof.2016.12.001.png)
.png){kind=icon}
Original request for help.png){kind=icon}
Share.png){kind=icon}
Save
Abstract
En 中文
Context: version control repositories contain a wealth of implicit information that can be used to answer many questions about a project's development process. However, this information is not directly accessible in the repositories and must be extracted and visualized. Objective: the main objective of this work is to develop a flexible and generic interactive visualization engine called ConceptCloud that supports exploratory search in version control repositories. Method: ConceptCloud is a flexible, interactive browser for SVN and Git repositories. Its main novelty is the combination of an intuitive tag cloud visualization with an underlying concept lattice that provides a formal structure for navigation. ConceptCloud supports concurrent navigation in multiple linked but individually customizable tag clouds, which allows for multi-faceted repository browsing, and scriptable construction of unique visualizations. Results: we describe the mathematical foundations and implementation of our approach and use ConceptCloud to quickly gain insight into the team structure and development process of three projects. We perform a user study to determine the usability of ConceptCloud. We show that untrained participants are able to answer historical questions about a software project better using ConceptCloud than using a linear list of commits. Conclusion: ConceptCloud can be used to answer many difficult questions such as What has happened in this project while I was away? and Which developers collaborate?. Tag clouds generated from our approach provide a visualization in which version control data can be aggregated and explored interactively. (C) 2016 Elsevier B.V. All rights reserved.
Keywords:
Formal concept analysis
Tag clouds
Browsing software repositories
Interactive tag cloud visualization
AI Summary
Key information extracted from the uploaded paper, including a brief overview, abstract, background, key highlights, visual analysis, and future outlook.
Journal
IF:
4.3
Papers:
3.7K
Citations:
7.7K
Organization
Cited Papers