Metrics and Models in Software Quality Engineering 2nd Edition by Stephen Kan ISBN 9788131703243
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Authors:Stephen H. Kan , Series:IT & Computer [235] , Tags:Computers; Software Development & Engineering; General , Author sort:Kan, Stephen H. , Ids:Google; 9780201729153 , Languages:Languages:eng , Published:Published:Mar 2003 , Publisher:Addison-Wesley Professional , Comments:Comments:””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 testingMetrics for object-oriented software developmentAvailability metricsMethods for conducting in-process quality assessments and software project assessmentsDos and Don’ts of Software Process Improvement, by Patrick O’TooleUsing 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. 0201729156B08282002
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ISBN 13: 9788131703243
Author: Stephen Kan
Metrics and Models in Software Quality Engineering, 2nd 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. For Sale in Indian subcontinent only
Metrics and Models in Software Quality Engineering 2nd Edition Table of contents:
Chapter 1: Introduction to Software Quality and Metrics
- The Importance of Software Quality
- What Are Software Metrics?
- The Role of Metrics in Software Quality Engineering
- Types of Metrics: Product, Process, and Resource Metrics
Chapter 2: Basic Metrics for Software Quality
- Size and Complexity Metrics
- Defect Density and Reliability Metrics
- Code Coverage and Test Metrics
- Cost and Schedule Metrics
Chapter 3: Process Metrics
- Process Performance and Capability
- Metrics for Process Improvement
- Measuring Software Development Productivity
- Using Process Metrics for Predictive Modeling
Chapter 4: Software Reliability Metrics
- Introduction to Software Reliability
- Failure Rate and Mean Time to Failure (MTTF)
- Reliability Growth Models
- Forecasting and Predicting Reliability
Chapter 5: Quality Assurance and Testing Metrics
- The Role of Testing in Software Quality
- Test Coverage and Defect Detection Metrics
- Metrics for Test Effectiveness and Efficiency
- Automation and Continuous Testing Metrics
Chapter 6: Predictive Models in Software Engineering
- The Role of Predictive Modeling in Quality Engineering
- Statistical Models for Estimating Software Quality
- Regression Analysis and Reliability Prediction
- Machine Learning and AI in Quality Predictions
Chapter 7: Software Quality Models
- Overview of Quality Models (ISO 9126, McCall, etc.)
- Metrics-Driven Quality Models
- Balancing Metrics and Models for Software Improvement
Chapter 8: Evaluating Software Metrics and Models
- Criteria for Evaluating Metrics and Models
- Validity, Reliability, and Usefulness of Metrics
- Overcoming Challenges in Metric Selection
- Case Studies and Best Practices
Chapter 9: Quantitative Techniques in Software Engineering
- Introduction to Statistical Process Control (SPC)
- Six Sigma and Lean Methodologies in Software Engineering
- Performance Modeling and Simulation Techniques
- Applying Statistical Tools to Software Metrics
Chapter 10: Process Improvement Using Metrics and Models
- Implementing Metrics for Continuous Improvement
- Using Metrics for Identifying Bottlenecks and Risks
- Case Studies of Successful Process Improvement
Chapter 11: Advanced Topics in Software Metrics
- Advanced Reliability Models
- Cost-Effective Software Quality Measurement
- Metrics for Agile and DevOps Environments
- Evolving Metrics with Changing Software Practices
Chapter 12: Future Trends in Software Quality Metrics
- Emerging Trends in Software Quality and Metrics
- The Impact of Artificial Intelligence on Software Metrics
- Evolving Software Development Methodologies and Their Metric Needs
- Conclusion: The Future of Software Quality Engineering
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