Software faults prediction using multiple classifiers

In recent years, the use of machine learning algorithms (classifiers) has proven to be of great value in solving a variety of problems in software engineering including software faults prediction. This paper extends the idea of predicting software faults by using an ensemble of classifiers which has...

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Bibliographic Details

Published in:	2011 3rd International Conference on Computer Research and Development Vol. 4; pp. 504 - 510
Main Author:	Twala, B
Format:	Conference Proceeding
Language:	English
Published:	IEEE 01.03.2011
Subjects:	Accuracy Boosting classifers Classification algorithms ensemble fault prediction machine learning Prediction algorithms Software software metrics Support vector machines Training
ISBN:	1612848397, 9781612848396
Online Access:	Get full text
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