The document proposes a new approach called live feature analysis that models features at runtime to address limitations of traditional post-mortem feature analysis. Live feature analysis reduces data volume, supports growing and changing features, enables sub-method granularity, and allows interactive analysis by modeling features using runtime reflection instead of traces. This provides an alternative to traditional static post-mortem feature analysis techniques.

1. Modeling Features at
Runtime
Marcus Denker, Jorge Ressia, Orla Greevy,
Oscar Nierstrasz
Thursday, October 7, 2010

2. New way of doing
feature analysis
Thursday, October 7, 2010

3. Software Feature:
A distinguishing characteristic of a
software item.
IE EE 829
Thursday, October 7, 2010

4. Post-mortem
Feature Analysis
Thursday, October 7, 2010

5. Source Traces
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6. Source Traces
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7. Shortcomings
Data Volume
Feature Growing
Sub-Method granularity
Interactive Features
Thursday, October 7, 2010

8. Source Traces
Thursday, October 7, 2010

9. Traces
Source
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10. Live
Feature Analysis
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11. Thursday, October 7, 2010

12. Source
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13. Source Behavior
Representation
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14. Source Behavior
Representation
Feature Model
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15. Source Behavior
Representation
Feature Model Feature Result
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16. Source Behavior
Representation
Feature Model Feature Result
Runtime
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17. Thursday, October 7, 2010

18. Her mion07
20 r
isberge
Roethl
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19. Thursday, October 7, 2010

20. Se nsero010
2
isberge
Roethl
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21. How it works
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22. Source
AST
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23. Thursday, October 7, 2010

24. Thursday, October 7, 2010

25. AST
Application
User
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26. AST
Login
Application
User
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27. AST
Login
Application
User
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28. User
AST
Application
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29. Printing
User
AST
Application
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30. Printing
User
AST
Application
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31. Thursday, October 7, 2010

32. Implementation
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33. Partial Behavioral
Reflection
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34. Partial Behavioral
Reflection
eflex
R 003 2
Tanter
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35. Partial Behavioral
Reflection
eflex
R 003 2
Tanter
R eflec tivity
Denker 2008
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36. Reflection
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37. Structural Reflection
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38. Behavioral Reflection
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39. Partial Behavioral
Reflection
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40. Thursday, October 7, 2010

41. Thursday, October 7, 2010

42. Thursday, October 7, 2010

43. Thursday, October 7, 2010

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46. Thursday, October 7, 2010

47. Thursday, October 7, 2010

48. Thursday, October 7, 2010

49. Thursday, October 7, 2010

50. Thursday, October 7, 2010

51. Performance Impact
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52. Original!! ! ! ! !! ! ! 1x
Full Adaptation!! ! ! 16x
Practice! ! !
! 1.5x
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53. Memory Footprint
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54. Original!! ! ! ! !! ! ! 1x
Post-Mortem! ! ! ! nx
Live Feature!! ! ! 1x
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55. 1
RuntimeFeatureAnalyzer
activeFeature 1 1 Feature
packages 0..*
1
1
0..* 1
1 0..* 1 0..*
Class ASTNode Annotation
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56. Conclusions
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57. Feature analysis at
runtime
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58. Interactive analysis
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59. Feature Growing
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60. Sub-Method
granularity
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61. Models at Runtime
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62. Live
Feature Analysis
Data volume reduction
Feature Growing
Sub-Method granularity
Interactive Features
Thursday, October 7, 2010