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Artificial Neural Network Applications for Software Reliability Prediction.

By: Contributor(s): Material type: TextTextSeries: Performability Engineering SeriesPublisher: Newark : John Wiley & Sons, Incorporated, 2017Copyright date: ©2017Edition: 1st edDescription: 1 online resource (220 pages)Content type:
  • text
Media type:
  • computer
Carrier type:
  • online resource
ISBN:
  • 9781119223924
Subject(s): Genre/Form: Additional physical formats: Print version:: Artificial Neural Network Applications for Software Reliability PredictionDDC classification:
  • 006.32
LOC classification:
  • QA76.87.B575 2017
Online resources:
Contents:
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.
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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.

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Electronic reproduction. Ann Arbor, Michigan : ProQuest Ebook Central, 2024. Available via World Wide Web. Access may be limited to ProQuest Ebook Central affiliated libraries.

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