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Abstract: This paper describes the FADE paradigm for visualization and a series of experiments for the fast layout, abstract representation, and measurement of software views. In program comprehension, graph models are typically used to represent relational information, where the visualization of such graphs is referred to as graph drawing. Here we present the results of an investigation into efficient techniques for drawing and abstractly representing large software views with thousands of nodes from... (Update)
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BibTeX entry: (Update)
@misc{ mitsubishi-experience,
author = "Aaron Quigley Mitsubishi",
title = "Experience with FADE for the Visualization and Abstraction of Software
Views",
url = "citeseer.ist.psu.edu/746814.html" }
Citations (may not include all citations):257 forcecalculation algorithm (context) - Barnes, Hut et al. - 1986
131 Graph Drawing: Algorithms for the Visualization of Graphs (context) - Di Battista, Eades et al. - 1999
67 Software visualization in the large - Ball, Eick - 1996
60 Graph visualization and navigation in information visualizat.. - Melanon, Marshall - 2000
54 Manipulating and documenting software structures using shrim.. - Storey, Mller - 1995
48 Information Visualization: Perception for Design (context) - Ware - 1999
17 Atomic Architectural Component Recovery for Program Understa.. (context) - Koschke - 1999
15 Evidence and Narrative (context) - Tufte - 1997
8 Department of Computer Science and Software Engineering (context) - Feng, Algorithms - 1997
7 Rigi: A visualization environment for reverse engineering - Storey, Wong et al. - 1997
4 Software Visualization Tools: Survey and Analysis (context) - Bassil, Keller - 2001
4 Large Scale Relational Information Visualization (context) - Quigley - 2001
3 Many-Body Tree Methods in Physics (context) - Pfalzner, Gibbon - 1996
2 Visualizing graph models of software (context) - North - 1998
1 Hierarchical deformations of Clustered Graphs by Binary Spac.. (context) - Quigley
1 line Animated Visualization of Huge Graphs (context) - Huang - 1999
1 Computational Visualization (context) - Strothotte - 1998
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