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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Bibliographic Details
Main Authors: Abaei, Golnoush, Selamat, Ali
Format: Article
Published: Springer Verlag 2015
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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