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Fault Prediction Modeling for the Prediction of Number of Software Faults (SpringerBriefs in Computer Science)

By: Sandeep Kumar (Author) , Santosh Singh Rathore (Author)

Extended Catalogue

Ksh 10,250.00

Format: Paperback or Softback

ISBN-10: 981137130X

ISBN-13: 9789811371301

Collection / Series: SpringerBriefs in Computer Science

Collection Type: Publisher collection

Edition statement: 2019 ed.

Publisher: Springer Verlag, Singapore

Imprint: Springer Verlag, Singapore

Country of Manufacture: SG

Country of Publication: GB

Publication Date: Apr 12th, 2019

Publication Status: Active

Product extent: 78 Pages

Product Classification / Subject(s): Information technology industries
Software Engineering

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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.
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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