An empirical assessment of threshold techniques to discriminate the fault status of software
To determine the high risk classes in software system researchers often turn to statistical and computational intelligence models, in preference to more easily performed binary classification through threshold value. In the later case, the knowledge of only threshold values can help the developers a...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2022-09-01
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| Series: | Journal of King Saud University: Computer and Information Sciences |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S1319157821000677 |