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Empirical Research in Software Engineering
book

Empirical Research in Software Engineering

by Ruchika Malhotra
March 2016
Intermediate to advanced content levelIntermediate to advanced
498 pages
18h 20m
English
Chapman and Hall/CRC
Content preview from Empirical Research in Software Engineering
385Mining Unstructured Data
10.4.5 Discussion of Results
Although we have used few words to predict models, the AUC in many cases is high (see
Tables10.13 and 10.15). The AUC values of models predicted using the PITS-A data set
are very high. The best results obtained for predicting faults at various severity levels are
shown below:
For severity=high, average AUC=0.824–0.943
For severity=medium, average AUC=0.727–0.846
TABLE 10.16
Results for Top-50 Words Corresponding to Low and Very Low
Severity Faults
Low Severity Defects Very Low Severity Defects
Runs AUC Sensitivity Cutoff AUC Sensitivity Cutoff
1 0.801 0.692 0.224 0.754 0.667
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Publisher Resources

ISBN: 9781498719735