Increasing the accuracy of software fault prediction using majority ranking fuzzy clustering

• Main Authors: Abaei, Golnoush, Selamat, Ali
• Format: Article
• Published: Springer Verlag 2015
• Subjects: T Technology (General)
• Online Access: http://eprints.utm.my/id/eprint/59320/; http://dx.doi.org/10.1007/978-3-319-10389-1_13
• Institution: Universiti Teknologi Malaysia

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...