Metrics and Models in Software Quality Engineering

620 Pages·2003·7.722 MB·English

by  Stephen H. Kan

• Table of Contents
Metrics and Models in Software Quality
Engineering, Second Edition
By Stephen H. Kan

Publisher : Addison Wesley
Pub Date : September 20, 2002
ISBN : 0-201-72915-6
Pages : 560
"This is the single best book on software quality engineering
and metrics that I've encountered."-Capers Jones, from the
Foreword
Metrics and Models in Software Quality Engineering, Second
Edition, is the definitive book on this essential topic of
software development. Comprehensive in scope with
extensive industry examples, it shows how to measure
software quality and use measurements to improve the
software development process. Four major categories of
quality metrics and models are addressed: quality
management, software reliability and projection,
complexity, and customer view. In addition, the book
discusses the fundamentals of measurement theory, specific
quality metrics and tools, and methods for applying metrics
to the software development process.
New chapters bring coverage of critical topics, including:
In-process metrics for software testing
Metrics for object-oriented software development
Availability metrics
Methods for conducting in-process quality assessments
and software project assessments
Dos and Don'ts of Software Process Improvement, by
Patrick O'Toole
Using Function Point Metrics to Measure Software
Process Improvement, by Capers Jones
In addition to the excellent balance of theory, techniques,
and examples, this book is highly instructive and practical,
covering one of the most important topics in software
development--quality engineering.
• Table of Contents
Metrics and Models in Software Quality
Engineering, Second Edition
By Stephen H. Kan

Publisher : Addison Wesley
Pub Date : September 20, 2002
ISBN : 0-201-72915-6
Pages : 560
Copyright
Foreword to the Second Edition
Foreword to the First Edition
Preface
Themes of This Book
Organization of This Book
Suggested Ways to Read This Book
Acknowledgments

Chapter 1. What Is Software Quality?
Section 1.1. Quality: Popular Views
Section 1.2. Quality: Professional Views
Section 1.3. Software Quality
Section 1.4. Total Quality Management
Section 1.5. Summary
References

Chapter 2. Software Development Process Models
Section 2.1. The Waterfall Development Model
Section 2.2. The Prototyping Approach
Section 2.3. The Spiral Model
Section 2.4. The Iterative Development Process Model
Section 2.5. The Object-Oriented Development Process
Section 2.6. The Cleanroom Methodology
Section 2.7. The Defect Prevention Process
Section 2.8. Process Maturity Framework and Quality Standards
Section 2.9. Summary
References

Chapter 3. Fundamentals of Measurement Theory
Section 3.1. Definition, Operational Definition, and Measurement
Section 3.2. Level of Measurement
Section 3.3. Some Basic Measures
Section 3.4. Reliability and Validity
Section 3.5. Measurement Errors
Section 3.6. Be Careful with Correlation
Section 3.7. Criteria for Causality
Section 3.8. Summary
References

Chapter 4. Software Quality Metrics Overview
Section 4.1. Product Quality Metrics
Section 4.2. In-Process Quality Metrics
Section 4.3. Metrics for Software Maintenance
Section 4.4. Examples of Metrics Programs
Section 4.5. Collecting Software Engineering Data
Section 4.6. Summary
References

Chapter 5. Applying the Seven Basic Quality Tools in Software Development
Section 5.1. Ishikawa's Seven Basic Tools
Section 5.2. Checklist
Section 5.3. Pareto Diagram
Section 5.4. Histogram
Section 5.5. Run Charts
Section 5.6. Scatter Diagram
Section 5.7. Control Chart
Section 5.8. Cause-and-Effect Diagram
Section 5.9. Relations Diagram
Section 5.10. Summary
References
Chapter 6. Defect Removal Effectiveness
Section 6.1. Literature Review
Section 6.2. A Closer Look at Defect Removal Effectiveness
Section 6.3. Defect Removal Effectiveness and Quality Planning
Section 6.4. Cost Effectiveness of Phase Defect Removal
Section 6.5. Defect Removal Effectiveness and Process Maturity Level
Section 6.6. Summary
References

Chapter 7. The Rayleigh Model
Section 7.1. Reliability Models
Section 7.2. The Rayleigh Model
Section 7.3. Basic Assumptions
Section 7.4. Implementation
Section 7.5. Reliability and Predictive Validity
Section 7.6. Summary
References

Chapter 8. Exponential Distribution and Reliability Growth Models
Section 8.1. The Exponential Model
Section 8.2. Reliability Growth Models
Section 8.3. Model Assumptions
Section 8.4. Criteria for Model Evaluation
Section 8.5. Modeling Process
Section 8.6. Test Compression Factor
Section 8.7. Estimating the Distribution of Total Defects over Time
Section 8.8. Summary
References

Chapter 9. Quality Management Models
Section 9.1. The Rayleigh Model Framework
Section 9.2. Code Integration Pattern
Section 9.3. The PTR Submodel
Section 9.4. The PTR Arrival and Backlog Projection Model
Section 9.5. Reliability Growth Models
Section 9.6. Criteria for Model Evaluation
Section 9.7. In-Process Metrics and Reports
Section 9.8. Orthogonal Defect Classification
Section 9.9. Summary
References
Chapter 10. In-Process Metrics for Software Testing
Section 10.1. In-Process Metrics for Software Testing
Section 10.2. In-Process Metrics and Quality Management
Section 10.3. Possible Metrics for Acceptance Testing to Evaluate Vendor-Developed Software
Section 10.4. How Do You Know Your Product Is Good Enough to Ship?
Section 10.5. Summary
References

Chapter 11. Complexity Metrics and Models
Section 11.1. Lines of Code
Section 11.2. Halstead's Software Science
Section 11.3. Cyclomatic Complexity
Section 11.4. Syntactic Constructs
Section 11.5. Structure Metrics
Section 11.6. An Example of Module Design Metrics in Practice
Section 11.7. Summary
References

Chapter 12. Metrics and Lessons Learned for Object-Oriented Projects
Section 12.1. Object-Oriented Concepts and Constructs
Section 12.2. Design and Complexity Metrics
Section 12.3. Productivity Metrics
Section 12.4. Quality and Quality Management Metrics
Section 12.5. Lessons Learned from OO Projects
Summary
References

Chapter 13. Availability Metrics
13.1 Definition and Measurements of System Availability
Section 13.2. Reliability, Availability, and Defect Rate
Section 13.3. Collecting Customer Outage Data for Quality Improvement
Section 13.4. In-process Metrics for Outage and Availability
Summary
References

Chapter 14. Measuring and Analyzing Customer Satisfaction
Section 14.1. Customer Satisfaction Surveys
Section 14.2. Analyzing Satisfaction Data
Section 14.3. Satisfaction with Company
Section 14.4. How Good Is Good Enough
Section 14.5. Summary
References
Chapter 15. Conducting In-Process Quality Assessments
Section 15.1. The Preparation Phase
Section 15.2. The Evaluation Phase
Section 15.3. The Summarization Phase
Section 15.4. Recommendations and Risk Mitigation
Section 15.5. Summary
References

Chapter 16. Conducting Software Project Assessments
Section 16.1. Audit and Assessment
Section 16.2. Software Process Maturity Assessment and Software Project Assessment
Section 16.3. Software Process Assessment Cycle
Section 16.4. A Proposed Software Project Assessment Method
Section 16.5. Summary
References

Chapter 17. Dos and Don'ts of Software Process Improvement
Section 17.1. Measuring Process Maturity
Section 17.2. Measuring Process Capability
Section 17.3. Staged versus Continuous�Debating Religion
Section 17.4. Measuring Levels Is Not Enough
Section 17.5. Establishing the Alignment Principle
Section 17.6. Take Time Getting Faster
Section 17.7. Keep It Simple � or Face Decomplexification
Section 17.8. Measuring the Value of Process Improvement
Section 17.9. Measuring Process Adoption
Section 17.10. Measuring Process Compliance
Section 17.11. Celebrate the Journey, Not Just the Destination
Section 17.12. Summary
References

Chapter 18. Using Function Point Metrics to Measure Software Process Improvements
Section 18.1. Software Process Improvement Sequences
Section 18.2. Process Improvement Economics
Section 18.3. Measuring Process Improvements at Activity Levels
Section 18.4. Summary
References

Chapter 19. Concluding Remarks
Section 19.1. Data Quality Control
Section 19.2. Getting Started with a Software Metrics Program
Section 19.3. Software Quality Engineering Modeling
Section 19.4. Statistical Process Control in Software Development
Section 19.5. Measurement and the Future
References

A Project Assessment Questionnaire

Copyright
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Library of Congress Cataloging-in-Publication Data
Kan, Stephen H.
Metrics and models in software quality engineering / Stephen H. Kan—2nd ed
p. cm.
1. Computer software—Quality control I. Title
QA76.76Q35 K35 2003
005.1'068'5--dc21 2002027737
Copyright © 2003 by Pearson Education, Inc.
All rights reserved. No part of this publication may be reproduced, stored in a
retrieval system, or transmitted, in any form, or by any means, electronic,
mechanical, photocopying, recording, or otherwise, without the prior consent of the