Please use this identifier to cite or link to this item: http://localhost/handle/Hannan/662
Title: Software Fault Prediction
Other Titles: A Road Map /
Authors: Kumar, Sandeep. ;;Rathore, Santosh Singh. ;
subject: Computer Science;Software Engineering;Computer Science;Software Engineering;Information Systems Applications;QA76.758 ;
Year: 2018
place: Singapore :
Publisher: Springer Singapore :
Imprint: Springer,
Series/Report no.: SpringerBriefs in Computer Science, ; 2191-5768. ;
SpringerBriefs in Computer Science, ; 2191-5768. ;
Abstract: 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. ;
Description: SpringerLink (Online service) ;
005.1 ; 23 ;

Printed edition: ; 9789811087141. ;


URI: http://localhost/handle/Hannan/662
ISBN: 9789811087158 ;
9789811087141 (print) ;
More Information: XI, 72 p. 8 illus., 1 illus. in color. ; online resource. ;
Appears in Collections:مدیریت فناوری اطلاعات

Files in This Item:
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Title: Software Fault Prediction
Other Titles: A Road Map /
Authors: Kumar, Sandeep. ;;Rathore, Santosh Singh. ;
subject: Computer Science;Software Engineering;Computer Science;Software Engineering;Information Systems Applications;QA76.758 ;
Year: 2018
place: Singapore :
Publisher: Springer Singapore :
Imprint: Springer,
Series/Report no.: SpringerBriefs in Computer Science, ; 2191-5768. ;
SpringerBriefs in Computer Science, ; 2191-5768. ;
Abstract: 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. ;
Description: SpringerLink (Online service) ;
005.1 ; 23 ;

Printed edition: ; 9789811087141. ;


URI: http://localhost/handle/Hannan/662
ISBN: 9789811087158 ;
9789811087141 (print) ;
More Information: XI, 72 p. 8 illus., 1 illus. in color. ; online resource. ;
Appears in Collections:مدیریت فناوری اطلاعات

Files in This Item:
File Description SizeFormat 
9789811087141.pdf1.53 MBAdobe PDFThumbnail
Preview File
Title: Software Fault Prediction
Other Titles: A Road Map /
Authors: Kumar, Sandeep. ;;Rathore, Santosh Singh. ;
subject: Computer Science;Software Engineering;Computer Science;Software Engineering;Information Systems Applications;QA76.758 ;
Year: 2018
place: Singapore :
Publisher: Springer Singapore :
Imprint: Springer,
Series/Report no.: SpringerBriefs in Computer Science, ; 2191-5768. ;
SpringerBriefs in Computer Science, ; 2191-5768. ;
Abstract: 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. ;
Description: SpringerLink (Online service) ;
005.1 ; 23 ;

Printed edition: ; 9789811087141. ;


URI: http://localhost/handle/Hannan/662
ISBN: 9789811087158 ;
9789811087141 (print) ;
More Information: XI, 72 p. 8 illus., 1 illus. in color. ; online resource. ;
Appears in Collections:مدیریت فناوری اطلاعات

Files in This Item:
File Description SizeFormat 
9789811087141.pdf1.53 MBAdobe PDFThumbnail
Preview File