Artificial Neural Network Applications for Software Reliability Prediction.

Artificial neural network (ANN) has proven to be a universal approximator for any non-linear continuous function with arbitrary accuracy. This book presents how to apply ANN to measure various software reliability indicators: number of failures in a given time, time between successive failures, faul...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Bisi, Manjubala
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Wiley, 2017.
Colección:Performability Engineering Ser.
Temas:
Computers.
Electronic digital computers.
Ordinateurs.
computers.
COMPUTERS > Software Development & Engineering > Project Management.
Electronic digital computers
Computers
Acceso en línea:Texto completo
Tabla de Contenidos:
  • Title page
  • Copyright page
  • Dedication
  • Preface
  • Acknowledgement
  • Abbreviations
  • Chapter 1: Introduction
  • 1.1 Overview of Software Reliability Prediction and Its Limitation
  • 1.2 Overview of the Book
  • 1.3 Organization of the Book
  • Chapter 2: Software Reliability Modelling
  • 2.1 Introduction
  • 2.2 Software Reliability Models
  • 2.3 Techniques used for Software Reliability Modelling
  • 2.4 Importance of Artificial Neural Network in Software Reliability Modelling
  • 2.5 Observations
  • 2.6 Objectives of the Book
  • Chapter 3: Prediction of Cumulative Number of Software Failures3.1 Introduction
  • 3.2 ANN Model
  • 3.3 Experiments
  • 3.4 ANN-PSO Model
  • 3.5 Experimental Results
  • 3.6 Performance Comparison
  • Chapter 4: Prediction of Time Between Successive Software Failures
  • 4.1 Time Series Approach in ANN
  • 4.2 ANN Model
  • 4.3 ANN-PSO Model
  • 4.4 Results and Discussion
  • Chapter 5: Identification of Software Fault-Prone Modules
  • 5.1 Research Background
  • 5.2 ANN Model
  • 5.3 ANN-PSO Model
  • 5.4 Discussion of Results
  • Chapter 6: Prediction of Software Development Efforts6.1 Need for Development Efforts Prediction
  • 6.2 Efforts Multipliers Affecting Development Efforts
  • 6.3 Artificial Neural Network Application for Development Efforts Prediction
  • 6.4 Performance Analysis on Data Sets
  • Chapter 7: Recent Trends in Software Reliability
  • References
  • Appendix Failure Count Data Set
  • Appendix Time Between Failure Data Set
  • Appendix CM1 Data Set
  • Appendix COCOMO 63 Data Set
  • Index

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