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Implications of Ceiling Effects in Defect Predictors

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Implications of Ceiling Effects in Defect Predictors - PROMISE 2008

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Outline ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Approach ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
State-of-the-art Defect Predictor ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
How Much Data: Use more... ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Over/ Under Sampling: Use Less... ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Over/ Under Sampling: Use Less... ,[object Object],[object Object],[object Object],[object Object],[object Object]
Micro Sampling: Use Even Less... ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Discussions ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Example 1: Requirement Metrics ,[object Object],[object Object],[object Object],[object Object],[object Object],From: Text Mining To: NLP Subject: Semantics
Example 2: Simple Weighting ,[object Object],[object Object],[object Object],[object Object],Check the validity of NB assumptions!
Example 3: WHICH Rule Learner ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
[object Object],[object Object],[object Object],[object Object],[object Object],outlook=sunny AND rain=true outlook=overcast outlook = [ sunny OR overcast ] AND rain = true Example 3: WHICH Rule Learner
Example 4: NN-Sampling ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Example 4: NN-Sampling ,[object Object],[object Object],[object Object]
Conclusions ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Promise data: OK. What about Promise tools? Increase in information content? Building predictors aligned with business goals.
Future Work ,[object Object],[object Object],[object Object]
Thanks... ,[object Object]

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Implications of Ceiling Effects in Defect Predictors

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