VisBubbles: a workflow-driven framework for scientific data analysis of time-varying biological datasets

Authors:
Guangxia Li;Andrew C. Bragdon;Zhigeng Pan;Mingmin Zhang;Sharon M. Swartz;David H. Laidlaw;Chaoyang Zhang;Hanyu Liu;Jian Chen
Affiliations:
Zhejiang University;Microsoft Research;Zhejiang University;Zhejiang University;Brown University;Brown University;University of Southern Mississippi;University of Southern Mississippi;University of Southern Mississippi
Venue:
SIGGRAPH Asia 2011 Posters
Year:
2011

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Code bubbles: rethinking the user interface paradigm of integrated development environments

Proceedings of the 32nd ACM/IEEE International Conference on Software Engineering - Volume 1

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Abstract

Our long-term collaborations with bat flight biologists have revealed that several workflow issues continue to be persistent barriers in scientists' data analysis tasks. Only limited attention has been given to user interfaces that bridge programming and visualization in environments involving multiple information resources, feature extraction by programming, and analytic study. We present VisBubbles (Fig. 1), a unified environment supporting programming, visualization, and interaction concurrently for data analysis workflow. The framework was developed in a participatory design process and discussion with biologists continues to provide new insights into general-purpose support for data-analysis workflow.