Fault Prediction Modeling for the Prediction of Number of...

Fault Prediction Modeling for the Prediction of Number of Software Faults

Santosh Singh Rathore, Sandeep Kumar
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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.


카테고리:
년:
2019
판:
1st ed.
출판사:
Springer Singapore
언어:
english
ISBN 10:
9811371318
ISBN 13:
9789811371318
시리즈:
SpringerBriefs in Computer Science
파일:
PDF, 2.23 MB
IPFS:
CID , CID Blake2b
english, 2019
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