/

Software Fault Prediction A Road Map

Kumar Sandeep Rathore, Santosh Singh
Heftet / 2018 / Engelsk

Produktdetaljer

ISBN
9789811087141
Publisert
2018-06-18
Utgiver
Vendor
Springer Verlag, Singapore
Høyde
235 mm
Bredde
155 mm
Aldersnivå
Research, P, 06
Språk
Product language
Engelsk
Format
Product format
Heftet

Forfatter
Kumar Sandeep
Rathore, Santosh Singh

Om bidragsyterne

Dr Sandeep Kumar is currently working as an Assistant Professor at the Department of Computer Science and Engineering, Indian Institute of Technology (IIT) Roorkee, India. His areas of interest include Semantic Web, Web Services, and Software Engineering. He has supervised many Ph.D. students and filed two patents for his work done along with students. He is currently handling multiple national and international research/consultancy projects and has many accolades to his credit—Young Faculty Research Fellowship of MeitY (Govt. of India), NSF/TCPP early adopter award-2014, 2015, ITS Travel Award 2011 and 2013 and others. He is a member of the ACM and senior member of the IEEE. His name has also been listed in major directories such as Marquis Who’s Who, IBC and others.

Dr Santosh Singh Rathore  is currently working as an Assistant Professor in the Department of Computer Science and Engineering, National Institute of Technology (NIT) Jalandhar,India. He received his PhD degree from the Indian Institute of Technology Roorkee (IITR) and his master’s degree (M.Tech.) from the Indian Institute of Information Technology Design and Manufacturing (IIITDM) Jabalpur, India. His research interests include Software Fault Prediction, Software Quality Assurance, Empirical Software Engineering, Object-Oriented Software Development and Object-Oriented Metrics. He has published research papers in various peer-reviewed journals and international conference proceedings.

Software Fault Prediction A Road Map

Kumar Sandeep Rathore, Santosh Singh
Heftet / 2018 / Engelsk
Kumar Sandeep Rathore, Santosh Singh
Heftet / 2018 / Engelsk
Nettpris:
800,-
Levering 7-20 dager
Sjekk lagerstatus i butikk
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 beof 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.
Les mer
This book focuses on exploring the use of software fault prediction in building reliable and robust software systems. Chapter 4 describes the software fault datasets and diverse issues concerning fault datasets when building fault prediction models.
Les mer
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.    
Les mer
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 beof 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.
Les mer
Includes coverage of binary class as well as number of fault prediction Features a wealth of figures and tables to better illustrate the content Presents an empirical study on learning models

Relaterte produkter

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 beof 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.
Les mer
This book focuses on exploring the use of software fault prediction in building reliable and robust software systems. Chapter 4 describes the software fault datasets and diverse issues concerning fault datasets when building fault prediction models.
Les mer
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.    
Les mer
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 beof 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.
Les mer
Includes coverage of binary class as well as number of fault prediction Features a wealth of figures and tables to better illustrate the content Presents an empirical study on learning models

Produktdetaljer

ISBN
9789811087141
Publisert
2018-06-18
Utgiver
Vendor
Springer Verlag, Singapore
Høyde
235 mm
Bredde
155 mm
Aldersnivå
Research, P, 06
Språk
Product language
Engelsk
Format
Product format
Heftet

Forfatter
Kumar Sandeep
Rathore, Santosh Singh

Om bidragsyterne

Dr Sandeep Kumar is currently working as an Assistant Professor at the Department of Computer Science and Engineering, Indian Institute of Technology (IIT) Roorkee, India. His areas of interest include Semantic Web, Web Services, and Software Engineering. He has supervised many Ph.D. students and filed two patents for his work done along with students. He is currently handling multiple national and international research/consultancy projects and has many accolades to his credit—Young Faculty Research Fellowship of MeitY (Govt. of India), NSF/TCPP early adopter award-2014, 2015, ITS Travel Award 2011 and 2013 and others. He is a member of the ACM and senior member of the IEEE. His name has also been listed in major directories such as Marquis Who’s Who, IBC and others.

Dr Santosh Singh Rathore  is currently working as an Assistant Professor in the Department of Computer Science and Engineering, National Institute of Technology (NIT) Jalandhar,India. He received his PhD degree from the Indian Institute of Technology Roorkee (IITR) and his master’s degree (M.Tech.) from the Indian Institute of Information Technology Design and Manufacturing (IIITDM) Jabalpur, India. His research interests include Software Fault Prediction, Software Quality Assurance, Empirical Software Engineering, Object-Oriented Software Development and Object-Oriented Metrics. He has published research papers in various peer-reviewed journals and international conference proceedings.

Relaterte produkter