Software fault prediction based on improved fuzzy clustering

Predicting parts of the software programs that are more defects prone could ease up the software testing process and helps effectively to reduce the cost and time of developments. Although many machine-learning and statistical techniques have been proposed widely for defining fault prone modules in...

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Bibliographic Details
Main Authors: Abaei, Golnoosh, Selamat, Ali
Format: Article
Published: Springer Verlag 2014
Subjects:
Online Access:http://eprints.utm.my/id/eprint/62611/
http://dx.doi.org/10.1007/978-3-319-07593-8_21
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Institution: Universiti Teknologi Malaysia
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