Discrimination Analysis for Predicting Defect-Prone Software Modules
Software defect prediction studies usually build models without analyzing the data used in the procedure. As a result, the same approach has different performances on different data sets. In this paper, we introduce discrimination analysis for providing a good method to give insight into the inheren...
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| Main Authors: | Ying Ma, Ke Qin, Shunzhi Zhu |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Wiley
2014-01-01
|
| Series: | Journal of Applied Mathematics |
| Online Access: | http://dx.doi.org/10.1155/2014/675368 |
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