Software Fault Prediction
Kumar, Sandeep.
Software Fault Prediction A Road Map / [electronic resource] : by Sandeep Kumar, Santosh Singh Rathore. - 1st ed. 2018. - XI, 72 p. 8 illus., 1 illus. in color. online resource. - SpringerBriefs in Computer Science, 2191-5768 . - SpringerBriefs in Computer Science, .
Acceso multiusuario
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.
9789811087158
Software engineering.
Application software.
Software Engineering.
Information Systems Applications (incl. Internet).
QA76.758
005.1
Software Fault Prediction A Road Map / [electronic resource] : by Sandeep Kumar, Santosh Singh Rathore. - 1st ed. 2018. - XI, 72 p. 8 illus., 1 illus. in color. online resource. - SpringerBriefs in Computer Science, 2191-5768 . - SpringerBriefs in Computer Science, .
Acceso multiusuario
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.
9789811087158
Software engineering.
Application software.
Software Engineering.
Information Systems Applications (incl. Internet).
QA76.758
005.1
