Buch, Englisch, 392 Seiten, Format (B × H): 178 mm x 254 mm, Gewicht: 1080 g
Buch, Englisch, 392 Seiten, Format (B × H): 178 mm x 254 mm, Gewicht: 1080 g
ISBN: 978-0-8155-1363-6
Verlag: William Andrew Publishing
Autoren/Hrsg.
Fachgebiete
Weitere Infos & Material
Part I A Guide to Total Software Quality Control Volume 1 Overview of Techniques and the Planning Process 1. Introduction 2. Models for Software Quality Control 3. Software Quality Control Techniques 4. Applying Total Software Quality Control 5. Summary and Conclusions Appendix A: Quality Goals, Questions, Metrics, Requirements Appendix B: Risk Assessment Questionnaire Glossary Volume 2 Descriptions of Individual Techniques 1. Introduction 2. Cause and Effect Analysis 3. Configuration Management 4. Independent Verification and Validation 5. Inspections 6. Performance Engineering 7. Prototyping 8. Reliability Modeling 9. Requirements Traceability 10. RFP Preparation and Review 11. SEI Software Capability Evaluation 12. Software Audit 13. Software Design Metrics 14. Software Development Capability/Capacity Review 15. Software Development Files 16. Software Engineering Exercise 17. Software Engineering Prototype 18. Software Management Metrics 19. Software Quality Assurance 20. Software Problem Report Analysis 21. Standards 22. Testing GlossaryPart II Software Error Analysis Executive Summary 1. Overview 1.1 Definitions 2. Introduction to Software Error Analysis 2.1 Cost Benefits of Early Detection 2.2 Approach to Selecting Error Analysis Techniques 3. Techniques for Detecting Errors 3.1 Classes of Error Detection Techniques 3.2 Techniques Used During the Lifecycle 3.3 Benefits of Classes of Error Detection Techniques 4. Removal of Errors 4.1 Identification 4.2 Investigation 4.3 Resolution 4.4 Use of Individual Error Data 5. Techniques for the Collection and Analysis of Error Data 5.1 Error History Profile / Database 5.2 Data Collection Process 5.3 Metrics 5.4 Statistical Process Control Techniques 5.5 Software Reliability Estimation Models 6. Summary 7. References Appendix A: Error Detection Techniques A.1 Algorithm Analysis A.2 Back-to-Back Testing A.3 Boundary Value Analysis A.4 Control Flow Analysis/Diagrams A.5 Database Analysis A.6 Data Flow Analysis A.7 Data Flow Diagrams A.8 Decision Tables (Truth Tables) A.9 Desk Checking (Code Reading) A.10 Error Seeding A.11 Finite State Machines A.12 Formal Methods (Formal Verification, Proof of Correctness, Formal Proof of Program) A.13 Information Flow Analysis A.14 (Fagan) Inspections A.15 Interface Analysis A.16 Interface Testing A.17 Mutation Analysis A.18 Performance Testing A.19 Prototyping / Animation A.20 Regression Analysis and Testing A.21 Requirements Parsing A.22 Reviews A.23 Sensitivity Analysis A.24 Simulation A.25 Sizing and Timing Analysis A.26 Slicing A.27 Software Sneak Circuit Analysis A.28 Stress Testing A.29 Symbolic Execution A.30 Test Certification A.31 Traceability Analysis (Tracing) A.32 Walkthroughs Appendix B: Error Analysis Techniques Cited in Software StandardsPart III Increasing Software Confidence: Where We're Headed in Software Testing Technology 1. Introduction 2. Background 3. Testing Strategies 3.1 Mutation Testing 3.2 Decision to Decision PATH (DD-PATH) Testing-Branch Testing 4. Automated Testing Tools 4.1 MOTHRA 4.2 RXVP80 5. The Test Program 6. Correct Program 6.1 MOTHRA-Statement Analysis Mutants 6.2 MOTHRA-Predicate and Domain Mutants 6.3 RXVP80 7. Domain Error 7.1 MOTHRA-Statement Analysis Mutants 7.2 MOTHRA-Predicate and Domain Mutants 7.3 RXVP80 8. Missing Statement Error 8.1 MOTHRA 8.2 RXVP80 9. Computation Error 9.1 MOTHRA 9.2 RXVP80 10. Conclusion
