國立虎尾科技大學 |

Software fault prediction = a road map /

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Software fault prediction/ by Sandeep Kumar, Santosh Singh Rathore.
Reminder of title:	a road map /
Author:	Kumar, Sandeep.
other author:	Rathore, Santosh Singh.
Published:	Singapore :Springer Singapore : : 2018.,
Description:	xi, 72 p. :ill., digital ; : 24 cm.;
Contained By:	Springer eBooks
Subject:	Computer science. -
Online resource:	http://dx.doi.org/10.1007/978-981-10-8715-8
ISBN:	9789811087158

Software fault prediction = a road map /
Kumar, Sandeep.

Software fault predictiona road map /[electronic resource] :by Sandeep Kumar, Santosh Singh Rathore. - Singapore :Springer Singapore :2018. - xi, 72 p. :ill., digital ;24 cm. - SpringerBriefs in computer science,2191-5768. - SpringerBriefs in computer science..

Chapter 1. Introduction -- Chapter 2. Software Fault Prediction Process -- Chapter 3. Types of Software Fault Prediction -- Chapter 4. Software Fault Dataset -- Chapter 5. Evaluation of Techniques for Binary Class Prediction -- Chapter 6. Number of Fault Prediction -- Chapter 7. Conclusions.

This book focuses on exploring the use of software fault prediction in building reliable and robust software systems. It is divided into the following chapters: Chapter 1 presents an introduction to the study and also introduces basic concepts of software fault prediction. Chapter 2 explains the generalized architecture of the software fault prediction process and discusses its various components. In turn, Chapter 3 provides detailed information on types of fault prediction models and discusses the latest literature on each model. Chapter 4 describes the software fault datasets and diverse issues concerning fault datasets when building fault prediction models. Chapter 5 presents a study evaluating different techniques on the basis of their performance for software fault prediction. Chapter 6 presents another study evaluating techniques for predicting the number of faults in the software modules. In closing, Chapter 7 provides a summary of the topics discussed. The book will be of immense benefit to all readers who are interested in starting research in this area. In addition, it offers experienced researchers a valuable overview of the latest work in this area.

ISBN: 9789811087158

Standard No.: 10.1007/978-981-10-8715-8doiSubjects--Topical Terms:

573171
Computer science.

LC Class. No.: QA76.758

Dewey Class. No.: 005

Software fault prediction = a road map /
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245 1 0 $a Software fault prediction $h [electronic resource] : $b a road map / $c by Sandeep Kumar, Santosh Singh Rathore.
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490 1 $a SpringerBriefs in computer science, $x 2191-5768
505 0 $a Chapter 1. Introduction -- Chapter 2. Software Fault Prediction Process -- Chapter 3. Types of Software Fault Prediction -- Chapter 4. Software Fault Dataset -- Chapter 5. Evaluation of Techniques for Binary Class Prediction -- Chapter 6. Number of Fault Prediction -- Chapter 7. Conclusions.
520 $a This book focuses on exploring the use of software fault prediction in building reliable and robust software systems. It is divided into the following chapters: Chapter 1 presents an introduction to the study and also introduces basic concepts of software fault prediction. Chapter 2 explains the generalized architecture of the software fault prediction process and discusses its various components. In turn, Chapter 3 provides detailed information on types of fault prediction models and discusses the latest literature on each model. Chapter 4 describes the software fault datasets and diverse issues concerning fault datasets when building fault prediction models. Chapter 5 presents a study evaluating different techniques on the basis of their performance for software fault prediction. Chapter 6 presents another study evaluating techniques for predicting the number of faults in the software modules. In closing, Chapter 7 provides a summary of the topics discussed. The book will be of immense benefit to all readers who are interested in starting research in this area. In addition, it offers experienced researchers a valuable overview of the latest work in this area.
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