Early Software Reliability

Transcription

1 Neeraj Ajeet Kumar Pandey Kumar Goyal Early Software Reliability Prediction A Fuzzy Logic Approach ^ Springer

2 1 Introduction Need for Reliable and Quality Software Software Reliability Software Error, Fault, and Failure Measuring Software Reliability Limitation of Software Reliability Models Why Fault Prediction? Software Fault Prediction Software Metrics Capability Maturity Limitation of Early Reliability Model Level 6 Prediction Models Early Software Fault Prediction Model Residual Fault Prediction Model Software Development Life Cycle and Fault Density Software Metrics and Fault Density Indicator Quality of Large Software System Fault-Prone and Not Fault-Prone Software Modules Fault-Proneness Factors Need for Software Module Classification Limitations with Earlier Module Prediction Models Regression Testing and Software Reliability Software Reliability and Operational Profile Organization of the Book 14 References 15 2 Background: Software Quality and Reliability Prediction Introduction Software Reliability Models Failure Rate Models Failure or Fault Count Models Error or Fault-Seeding Models Reliability Growth Models 20 Xlll

3 xjv 2.3 Architecture-based Software Reliability Models Bayesian Models Early Software Reliability Prediction Models Reliability-Relevant Software Metrics Software Capability Maturity Models Software Defects Prediction Models Software Quality Prediction Models Regression Testing Operational Profile Observations 29 References 30 3 Early Fault Prediction Using Software Metrics and Process Maturity Introduction Brief Overview of Fuzzy Logic System Proposed Model Description of Metrics Considered for the Model Implementation of the Proposed Model Information Gathering Phase Information Processing Phase Defuzzification Fault Prediction Phase Case Studies Results and Discussion Summary 56 References 57 4 Multistage Model for Residual Fault Prediction Introduction Research Background Software Metrics Fault Density Indicator Overview of the Proposed Model Description of Software Metrics and their Nature Model Implementation Independent and Dependent Variables Development of Fuzzy Profiles Development of Fuzzy Rules Information Processing Residual Fault Prediction 74

4 _ xv 4.5 Case Study Dataset Used Metrics Considered in "qqdefects" Dataset Conversion of Dataset Results and Discussion Summary 79 References 79 5 Prediction and Ranking of Fault-Prone Software Modules Introduction Research Background Data Mining Software Metrics Fuzzy Set Theory Proposed Model Assumptions and Architecture of the Model Model Implementation Training Data Selection Decision Tree Construction Estimating Classifier Accuracy Module Ranking Procedure An Illustrative Example Proposed Procedure Case Study Dataset Used Converting Data in Appropriate Form Resultant Decision Tree Results and Discussion Summary 103 References Reliability Centric Test Case Prioritization Introduction Earlier Works Test Case Prioritization Test Case Prioritization Techniques APFD Metric Proposed Model Results and Discussion Summary 114 References 115

5 xvi 7 Software Reliability and Operational Profile Introduction Backgrounds and Related Works Embedded Systems'Testing Function Point Metric Operational Profile Proposed Model Premise Model Architecture Case Study: Automotive Embedded ECU Fog Light ECUs Functional Complexity of Fog Light ECU Operational Profile of Fog Light ECU Test Case Generation Test Case and Transition Probability Results and Discussion Summary 129 References 130 Appendix A 131 Appendix B 135 Appendix C 139 About the Author 153