Fault Prediction Modeling for the Prediction of Number of Software Faults (Paperback, 1st ed. 2019)

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This book addresses software faults-a critical issue that not only reduces the quality of software, but also increases their development costs. Various models for predicting the fault-proneness of software systems have been proposed; however, most of them provide inadequate information, limiting their effectiveness. This book focuses on the prediction of number of faults in software modules, and provides readers with essential insights into the generalized architecture, different techniques, and state-of-the art literature. In addition, it covers various software fault datasets and issues that crop up when predicting number of faults. A must-read for readers seeking a "one-stop" source of information on software fault prediction and recent research trends, the book will especially benefit those interested in pursuing research in this area. At the same time, it will provide experienced researchers with a valuable summary of the latest developments.

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Product Description

This book addresses software faults-a critical issue that not only reduces the quality of software, but also increases their development costs. Various models for predicting the fault-proneness of software systems have been proposed; however, most of them provide inadequate information, limiting their effectiveness. This book focuses on the prediction of number of faults in software modules, and provides readers with essential insights into the generalized architecture, different techniques, and state-of-the art literature. In addition, it covers various software fault datasets and issues that crop up when predicting number of faults. A must-read for readers seeking a "one-stop" source of information on software fault prediction and recent research trends, the book will especially benefit those interested in pursuing research in this area. At the same time, it will provide experienced researchers with a valuable summary of the latest developments.

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Product Details

General

Imprint

Springer Verlag, Singapore

Country of origin

Singapore

Series

SpringerBriefs in Computer Science

Release date

April 2019

Availability

Expected to ship within 10 - 15 working days

First published

2019

Authors

,

Dimensions

235 x 155mm (L x W)

Format

Paperback

Pages

78

Edition

1st ed. 2019

ISBN-13

978-981-13-7130-1

Barcode

9789811371301

Categories

LSN

981-13-7130-X



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