Fault Prediction Modeling for the Prediction of Number of Software Faults

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Éditeur :

Springer


Collection :

SpringerBriefs in Computer Science

Paru le : 2019-04-03

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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.
 

Pages
78 pages
Collection
SpringerBriefs in Computer Science
Parution
2019-04-03
Marque
Springer
EAN papier
9789811371301
EAN PDF
9789811371318

Informations sur l'ebook
Nombre pages copiables
0
Nombre pages imprimables
7
Taille du fichier
2304 Ko
Prix
52,74 €
EAN EPUB
9789811371318

Informations sur l'ebook
Nombre pages copiables
0
Nombre pages imprimables
7
Taille du fichier
1116 Ko
Prix
52,74 €