SOFTVIS 2005: Saint Louis, Missouri, USA Michael Burch, Stephan Diehl, Peter Weißgerber: Visual data mining in software archives Martin Pinzger, Harald.

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Presentation transcript:

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

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

Introduction What is visualize - Binary association rules - n-ary association rules - Sequence rules - distribution, support and confidence –histogram Tool EPOSee: Integrates different view Purpose: detect clusters, inspect rules, zoom and filters

EPOSee Interface Pixelmap Support Graph 3D Bar Chart filter Search keywordColors

Parallel Coordinates View Decision Tree 3D branch view

Rule matrix Item list Rule detailSupport & confidence n-ary association rules

3D bar charts Strong dependecies: High Support & confidence Use color and heights

Visualize binary association rule only Pixelmap File ordering: hierarchical

Stronger related Pixelmap Example File coupling at different directory level

Edges: related items Outliers: blue Clusters: sets of items Support Graph Nodes: Items Red:high

Association Rule Matrix y-axis: Items x-axis: Rules Red, blue & white pixels Support: length Confidence color

Parallel Coordinates View

Visualize Sequence Rules Parallel Coordinates View Nodes Color: Support Values Edges Color: Confidences Cluster on same subdirectory

Parallel Coordinates View Green edges: high confidence But, no edges with high confidence is coming into these 2 nodes

Pinzger, Gall, Fischer, Lanza: Visualizing multiple evolution metrics

Objective: Communicate the evolution of metrics of source code entities and their relationships Kiviat Diagram M1, M2..,M6 = 6 metrics increasing decreasing

Metrics

Logical Coupling Edge: Coupling relationship

A module from Mozilla