SOFTVIS 2005: Saint Louis, Missouri, USA

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SOFTVIS 2005 Saint Louis, Missouri, USA
Michael Burch, Stephan Diehl, Peter Weißgerber
Visual data mining in software archivesMartin
Pinzger, Harald Gall, Michael Fischer, Michele
Lanza Visualizing multiple evolution metrics
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Data Mining Terminology

• Association rules Item changed at the same time
  (related item)
• Sequence rules order of these changes
• Binary Association Rules how often 2 items
  changed together
• Support Number of transaction containing the
  item
• Confidence Number of Changes for pair item over
  single item
• Outliers unbalance datasets or abnormal distance

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Introduction

• Tool EPOSee Integrates different view
• Purpose detect clusters, inspect rules, zoom
  and filters

• What is visualize
• Binary association rules
• n-ary association rules
• Sequence rules
• distribution, support and confidence histogram

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EPOSee Interface
filter
Pixelmap
3D Bar Chart
Search keyword
Colors
Support Graph
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Decision Tree
Parallel Coordinates View
3D branch view
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n-ary association rules
Item list
Rule matrix
Rule detail
Support confidence
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3D bar charts

• Strong dependecies High Support confidence
• Use color and heights

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Pixelmap
File ordering hierarchical
Visualize binary association rule only
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Pixelmap Example
Stronger related
File coupling at different directory level
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Support Graph
Clusters sets of items
Nodes Items
Redhigh
Outliers blue
Edges related items
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Association Rule Matrix
y-axis Items
Red, blue white pixels
Support length
x-axis Rules
Confidence color
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Parallel Coordinates View

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VisualizeSequence Rules
Cluster on same subdirectory
Nodes Color Support Values
Parallel Coordinates View
Edges Color Confidences
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Parallel Coordinates View
Green edges high confidence
But, no edges with high confidence is coming into
these 2 nodes
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Pinzger, Gall, Fischer, LanzaVisualizing
multiple evolution metrics
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Kiviat Diagram

• Objective Communicate the evolution of metrics
  of source code entities and their relationships

decreasing
increasing
M1, M2..,M6 6 metrics
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Metrics
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Logical Coupling
Edge Coupling relationship
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A module from Mozilla
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