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

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.

General

Imprint:	Springer Verlag, Singapore
Country of origin:	Singapore
Series:	SpringerBriefs in Computer Science
Release date:	April 2019
First published:	2019
Authors:	Santosh Singh Rathore • Sandeep Kumar
Dimensions:	235 x 155mm (L x W)
Format:	Paperback
Pages:	78
Edition:	1st ed. 2019
ISBN-13:	978-981-13-7130-1
Categories:	Books > Computing & IT > Computer programming > Software engineering Books > Business & Economics > Industry & industrial studies > Media, information & communication industries > Information technology industries Promotions
LSN:	981-13-7130-X
Barcode:	9789811371301

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