Обложка Software Fault Prediction
Название книги:

Software Fault Prediction

A Software Fault Prediction Model by Hybrid Feature Selection and Hybrid Classifier Approach

LAP LAMBERT Academic Publishing (2012-06-13 )

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ISBN-13:

978-3-659-14481-3

ISBN-10:
3659144819
EAN:
9783659144813
Язык Книги:
Английский
Краткое описание:
Quality of the software is an important factor for any software company. Software fault prediction is a data mining process that helps to improve the quality. Data mining tools both open source and proprietary are available today. These bring lots of research works in this area. Software fault is the bug in the software that is identified only after its installation and it makes the software behave not in the expected way. Bug is there even after testing due to various constraints like cost, time. Prediction will help identify those fault prone areas and with that one can concentrate on those modules in future. Hybrid Feature Selection and Hybrid Classifier approach is a way to improve the software fault prediction accuracy. In Hybrid feature selection, irrelevant, redundant features are first filtered and this filtered feature set reduces the input feature set of wrapper. In Hybrid Classifier approach Linear Discriminant Analysis score is used as an additional feature for Neural Network classifier. These models give a better fault prediction accuracy.
Издательский Дом:
LAP LAMBERT Academic Publishing
Веб-сайт:
http://www.lap-publishing.com/
By (author) :
Akalya Devi C., Surendiran B., Kannammal K.E.
Количество страниц:
72
Опубликовано:
2012-06-13
Акции:
В наличии
Категория:
Информатика, ИТ
Цена:
4760.36 руб
Ключевые слова:
Software Quality, Feature selection, classifiers, Software fault prediction

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