1. 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

2. 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

3. 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

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

5. Parallel Coordinates View Decision Tree 3D branch view

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

7. 3D bar charts Strong dependecies: High Support & confidence Use color and heights

8. Visualize binary association rule only Pixelmap File ordering: hierarchical

9. Stronger related Pixelmap Example File coupling at different directory level

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

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

12. Parallel Coordinates View

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

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

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

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

17. Metrics

18. Logical Coupling Edge: Coupling relationship

19. A module from Mozilla