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Nearest Neighbor Sampling for Cross Company Defect Predictors Burak Turhan, Ayse Bener,  (Bogazici University, Turkey)   Tim Menzies  (WVU, USA) DEFECTS’08 Seattle, USA
Generality in SE ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
#include shameLessPlug.h http://promisedata.org ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Is this worthy of study? ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],What happens next…
Data (the usual suspects, plus 3)   ,[object Object],[object Object],[object Object],[object Object]
Features ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Learner ,[object Object],[object Object],Lessman et.al IEEE TSE’09: AUC TP vs FP Jiang et.al Defects’08 : AUC pd vs pf
Experiment #1: local vs imported ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Local vs imported
Experiment #1: results ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Local vs imported
Experiment #1: discussion ,[object Object],[object Object],[object Object],[object Object],Local vs imported
Experiment #2: local vs (imported+NN) ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Local vs imported+NN vs imported new
Experiment #2: PD results ,[object Object],[object Object],[object Object],Local vs imported+NN vs imported CC= imported; NN=imported+NearNeigh; WC=local
[object Object],[object Object],[object Object],Local vs imported+NN vs imported Experiment #2: PF results CC= imported; NN=imported+NearNeigh; WC=local
[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Local vs imported+NN vs imported Experiment #2: Discussion
[object Object],[object Object],[object Object],[object Object],Incremental Learning on local data Experiment #3:  Incremental learning new ,[object Object],[object Object],[object Object]
[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Summary
Generality ,[object Object],[object Object],[object Object]
Conclusions:  generality in SE ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
And finally: implications  of ceiling effects ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]

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Defects08 V2

  • 1. Nearest Neighbor Sampling for Cross Company Defect Predictors Burak Turhan, Ayse Bener, (Bogazici University, Turkey) Tim Menzies (WVU, USA) DEFECTS’08 Seattle, USA
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