Artificial Neural Network Applications for Software Reliability Prediction.
Material type:
- text
- computer
- online resource
- 9781119223924
- 006.32
- QA76.87.B575 2017
Intro -- 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 Failures -- 3.1 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 Efforts -- 6.1 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 -- End User License Agreement.
Description based on publisher supplied metadata and other sources.
Electronic reproduction. Ann Arbor, Michigan : ProQuest Ebook Central, 2024. Available via World Wide Web. Access may be limited to ProQuest Ebook Central affiliated libraries.
There are no comments on this title.