logo

EbookBell.com

Most ebook files are in PDF format, so you can easily read them using various software such as Foxit Reader or directly on the Google Chrome browser.
Some ebook files are released by publishers in other formats such as .awz, .mobi, .epub, .fb2, etc. You may need to install specific software to read these formats on mobile/PC, such as Calibre.

Please read the tutorial at this link:  https://ebookbell.com/faq 


We offer FREE conversion to the popular formats you request; however, this may take some time. Therefore, right after payment, please email us, and we will try to provide the service as quickly as possible.


For some exceptional file formats or broken links (if any), please refrain from opening any disputes. Instead, email us first, and we will try to assist within a maximum of 6 hours.

EbookBell Team

Fault Prediction Modeling For The Prediction Of Number Of Software Faults 1st Ed Santosh Singh Rathore

  • SKU: BELL-10494000
Fault Prediction Modeling For The Prediction Of Number Of Software Faults 1st Ed Santosh Singh Rathore
$ 31.00 $ 45.00 (-31%)

0.0

0 reviews

Fault Prediction Modeling For The Prediction Of Number Of Software Faults 1st Ed Santosh Singh Rathore instant download after payment.

Publisher: Springer Singapore
File Extension: PDF
File size: 2.23 MB
Author: Santosh Singh Rathore, Sandeep Kumar
ISBN: 9789811371301, 9789811371318, 981137130X, 9811371318
Language: English
Year: 2019
Edition: 1st ed.

Product desciption

Fault Prediction Modeling For The Prediction Of Number Of Software Faults 1st Ed Santosh Singh Rathore by Santosh Singh Rathore, Sandeep Kumar 9789811371301, 9789811371318, 981137130X, 9811371318 instant download after payment.

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.


Related Products