1. Space-Filling Software Visualization by Marla J. Baker and Stephen G. Eick Presented by: Brian Phillips February 11 2001

2. SeeSys System Background AT&T Bell Labortories AT&T Bell Labortories Large Scale Software Applications/Projects Large Scale Software Applications/Projects Really Implements Treemaps Really Implements Treemaps

3. Introduction A way to visualize a large scale software application and its sub-parts for statistical research A way to visualize a large scale software application and its sub-parts for statistical research - WOW BACK UP!!!!

4. Favorite Sentence “This technique can display the relative sizes of the location of new functionality, and the location of error-prone code with many bug fixes.”

5. Demonstration An Example An Example Makes No Sense yet Makes No Sense yet

6. Bottom Line Large Software Projects Many Sub Parts/Systems Many Files Many Programmers Why? = Analysis

7. Metrics for Measurement Errors in code Errors in code System Evolution System Evolution Recurrence of Errors Recurrence of Errors

8. An Example: Assume: Assume: We Create: We Create: New Release New Release A Database: A Database: - Contains certain Metrics

9. What we want to know? 1. L argest? Activity? 2. S tructure? – allocation 3. E rrors? – location 4. W here we focus effort? 5. G rowth Rate?

10. USER INTERACTION? Mouse Mouse

11. Legacies of the Project 1. Color 2. Spatial Utilization 3. Zoom in and Zoom out capabilities

12. Resources References mostly stuff about graphs and visualization References mostly stuff about graphs and visualization Lots of IEEE Articles Lots of IEEE Articles

13. Critiques - Strengths Addresses the heart of the issue Doesn’t try to conquer too much Makes Project Management very easy Don’t need to know much about a project

14. Critiques - Weaknesses Speaks about only one system Speaks about only one system No under the hood details No under the hood details Questions about the implementation Questions about the implementation