Artificial Neural Network Applications for Software Reliability Prediction
eBook - ePub

Artificial Neural Network Applications for Software Reliability Prediction

  1. English
  2. ePUB (mobile friendly)
  3. Available on iOS & Android
eBook - ePub

Artificial Neural Network Applications for Software Reliability Prediction

About this book

This book provides a starting point for software professionals to apply artificial neural networks for software reliability prediction without having analyst capability and expertise in various ANN architectures and their optimization.

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, fault-prone modules and development efforts. The application of machine learning algorithm i.e. artificial neural networks application in software reliability prediction during testing phase as well as early phases of software development process are presented. Applications of artificial neural network for the above purposes are discussed with experimental results in this book so that practitioners can easily use ANN models for predicting software reliability indicators.

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Yes, you can access Artificial Neural Network Applications for Software Reliability Prediction by Manjubala Bisi,Neeraj Kumar Goyal in PDF and/or ePUB format, as well as other popular books in Ciencia de la computación & Gestión de proyectos. We have over one million books available in our catalogue for you to explore.

Information

Table of contents

  1. Cover
  2. Title page
  3. Copyright page
  4. Dedication
  5. Preface
  6. Acknowledgement
  7. Abbreviations
  8. Chapter 1: Introduction
  9. Chapter 2: Software Reliability Modelling
  10. Chapter 3: Prediction of Cumulative Number of Software Failures
  11. Chapter 4: Prediction of Time Between Successive Software Failures
  12. Chapter 5: Identification of Software Fault-Prone Modules
  13. Chapter 6: Prediction of Software Development Efforts
  14. Chapter 7: Recent Trends in Software Reliability
  15. References
  16. Appendix Failure Count Data Set
  17. Appendix Time Between Failure Data Set
  18. Appendix CM1 Data Set
  19. Appendix COCOMO 63 Data Set
  20. Index
  21. End User License Agreement