Increasing the accuracy of software fault prediction using majority ranking fuzzy clustering
Although many machine-learning and statistical techniques have been proposed widely for defining fault prone modules during software fault prediction, but this area have yet to be explored as still there is a room for stable and consistent model with high accuracy. In this paper, a new method is pro...
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| Main Authors: | , |
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| Format: | Article |
| Published: |
Springer Verlag
2015
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| Subjects: | |
| Online Access: | http://eprints.utm.my/id/eprint/59320/ http://dx.doi.org/10.1007/978-3-319-10389-1_13 |
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| Institution: | Universiti Teknologi Malaysia |