Metrics and Models in Software Quality Engineering (2nd Edition)

"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. Though many books discuss software quality, this is the first book to integrate metrics with models and quality improvement strategies, and action plans with project experiences. Covering essential issues and techniques, Kan provides all the information needed to measure and improve the quality of the entire software development process from high-level to low-level design, and all phases of reliability. Main Page Table of content 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? 1.1 Quality: Popular Views 1.2 Quality: Professional Views 1.3 Software Quality 1.4 Total Quality Management 1.5 Summary References Chapter 2. Software Development Process Models 2.1 The Waterfall Development Model 2.2 The Prototyping Approach 2.3 The Spiral Model 2.4 The Iterative Development Process Model 2.5 The Object-Oriented Development Process 2.6 The Cleanroom Methodology 2.7 The Defect Prevention Process 2.8 Process Maturity Framework and Quality Standards 2.9 Summary References Chapter 3. Fundamentals of Measurement Theory 3.1 Definition, Operational Definition, and Measurement 3.2 Level of Measurement 3.3 Some Basic Measures 3.4 Reliability and Validity 3.5 Measurement Errors 3.6 Be Careful with Correlation 3.7 Criteria for Causality 3.8 Summary References Chapter 4. Software Quality Metrics Overview 4.1 Product Quality Metrics 4.2 In-Process Quality Metrics 4.3 Metrics for Software Maintenance 4.4 Examples of Metrics Programs 4.5 Collecting Software Engineering Data 4.6 Summary References Chapter 5. Applying the Seven Basic Quality Tools in Software Development 5.1 Ishikawa's Seven Basic Tools 5.2 Checklist 5.3 Pareto Diagram 5.4 Histogram 5.5 Run Charts 5.6 Scatter Diagram 5.7 Control Chart 5.8 Cause-and-Effect Diagram 5.9 Relations Diagram 5.10 Summary References Chapter 6. Defect Removal Effectiveness 6.1 Literature Review 6.2 A Closer Look at Defect Removal Effectiveness 6.3 Defect Removal Effectiveness and Quality Planning 6.4 Cost Effectiveness of Phase Defect Removal 6.5 Defect Removal Effectiveness and Process Maturity Level 6.6 Summary References Chapter 7. The Rayleigh Model 7.1 Reliability Models 7.2 The Rayleigh Model 7.3 Basic Assumptions 7.4 Implementation 7.5 Reliability and Predictive Validity 7.6 Summary References Chapter 8. Exponential Distribution and Reliability Growth Models 8.1 The Exponential Model 8.2 Reliability Growth Models 8.3 Model Assumptions 8.4 Criteria for Model Evaluation 8.5 Modeling Process 8.6 Test Compression Factor 8.7 Estimating the Distribution of Total Defects over Time 8.8 Summary References Chapter 9. Quality Management Models 9.1 The Rayleigh Model Framework 9.2 Code Integration Pattern 9.3 The PTR Submodel 9.4 The PTR Arrival and Backlog Projection Model 9.5 Reliability Growth Models 9.6 Criteria for Model Evaluation 9.7 In-Process Metrics and Reports 9.8 Orthogonal Defect Classification 9.9 Summary References Chapter 10. In-Process Metrics for Software Testing 10.1 In-Process Metrics for Software Testing 10.2 In-Process Metrics and Quality Management 10.3 Possible Metrics for Acceptance Testing to Evaluate Vendor-Developed Software 10.4 How Do You Know Your Product Is Good Enough to Ship? 10.5 Summary References Chapter 11. Complexity Metrics and Models 11.1 Lines of Code 11.2 Halstead's Software Science 11.3 Cyclomatic Complexity 11.4 Syntactic Constructs 11.5 Structure Metrics 11.6 An Example of Module Design Metrics in Practice 11.7 Summary References Chapter 12. Metrics and Lessons Learned for Object-Oriented Projects 12.1 Object-Oriented Concepts and Constructs 12.2 Design and Complexity Metrics 12.3 Productivity Metrics 12.4 Quality and Quality Management Metrics 12.5 Lessons Learned from OO Projects Summary References Chapter 13. Availability Metrics 13.1 Definition and Measurements of System Availability 13.2 Reliability, Availability, and Defect Rate 13.3 Collecting Customer Outage Data for Quality Improvement 13.4 In-process Metrics for Outage and Availability Summary References Chapter 14. Measuring and Analyzing Customer Satisfaction 14.1 Customer Satisfaction Surveys 14.2 Analyzing Satisfaction Data 14.3 Satisfaction with Company 14.4 How Good Is Good Enough 14.5 Summary References Chapter 15. Conducting In-Process Quality Assessments 15.1 The Preparation Phase 15.2 The Evaluation Phase 15.3 The Summarization Phase 15.4 Recommendations and Risk Mitigation 15.5 Summary References Chapter 16. Conducting Software Project Assessments 16.1 Audit and Assessment 16.2 Software Process Maturity Assessment and Software Project Assessment 16.3 Software Process Assessment Cycle 16.4 A Proposed Software Project Assessment Method 16.5 Summary References Chapter 17. Dos and Don'ts of Software Process Improvement 17.1 Measuring Process Maturity 17.2 Measuring Process Capability 17.3 Staged versus Continuous—Debating Religion 17.4 Measuring Levels Is Not Enough 17.5 Establishing the Alignment Principle 17.6 Take Time Getting Faster 17.7 Keep It Simple — or Face Decomplexification 17.8 Measuring the Value of Process Improvement 17.9 Measuring Process Adoption 17.10 Measuring Process Compliance 17.11 Celebrate the Journey, Not Just the Destination 17.12 Summary References Chapter 18. Using Function Point Metrics to Measure Software Process Improvements 18.1 Software Process Improvement Sequences 18.2 Process Improvement Economics 18.3 Measuring Process Improvements at Activity Levels 18.4 Summary References Chapter 19. Concluding Remarks 19.1 Data Quality Control 19.2 Getting Started with a Software Metrics Program 19.3 Software Quality Engineering Modeling 19.4 Statistical Process Control in Software Development 19.5 Measurement and the Future References A Project Assessment Questionnaire Our society has become increasingly reliant on software in the past decade; businesses have learned that measuring the effectiveness of software projects can impact the bottom line; and quality is no longer an advantage in the software marketplace (it is a necessity). For these reasons, the demand for quality in software engineering has taken center stage in the twenty-first century. In this new edition, Stephen Kan presents a thoroughly updated overview and implementation guide for software engineers faced with the challenge of ensuring quality. The book balances theory, techniques, and real-life examples to provide practical guidelines in the practice of quality. Although there are equations and formulas presented, the book's focus remains on helping the reader understand and apply the metrics and models. With this book as a map, readers can navigate through the complex field of quality, and benefit their organization by improving their processes and products. 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 books discusses the fundamentals of measurement theory, specific quality metrics and tools, and methods for applying metrics to the software development process. -- from the back cover