@inproceedings{6485176e4b604c49b9f5fcdb426a0988,
title = "OLAP Visual Analytics on Large Software Call Graphs with Hierarchical ChordMap",
abstract = "The performance of call graph analytics is critical to the development and management of large-scale software systems. Classical call graph visualizers either reuse a plain node-link graph metaphor that does not scale, or adopt the specific aggregation technique like the PivotGraph. In this paper, we first generalize the OLAP analysis framework from multidimensional data to multivariate graphs. Then we introduce Hierarchical ChordMap, a new visualization design that tightly couples with OLAP operations through context-preserving user interactions. Controlled user study demonstrates significant improvements of our design from the basic call graph visualizer. Implications are summarized on when and how the ChordMap design can outperform a stable PivotGraph tool in call graph analysis.",
keywords = "OLAP, Software Analytic, Visualization",
author = "Le Wang and Jiangtao Gong and Lei Shi",
note = "Publisher Copyright: {\textcopyright} 2015 IEEE.; 15th IEEE International Conference on Data Mining Workshop, ICDMW 2015 ; Conference date: 14-11-2015 Through 17-11-2015",
year = "2016",
month = jan,
day = "29",
doi = "10.1109/ICDMW.2015.66",
language = "英语",
series = "Proceedings - 15th IEEE International Conference on Data Mining Workshop, ICDMW 2015",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "675--679",
editor = "Xindong Wu and Alexander Tuzhilin and Hui Xiong and Dy, \{Jennifer G.\} and Charu Aggarwal and Zhi-Hua Zhou and Peng Cui",
booktitle = "Proceedings - 15th IEEE International Conference on Data Mining Workshop, ICDMW 2015",
address = "美国",
}