9780201729153

"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. 0201729156B08282002

Stephen H. Kan is Senior Technical Staff Member (STSM) and a technical manager in programming for IBM in Rochester, Minnesota. As process manager of the quality management process in product development for IBM's eServer iSeries software development, his responsibilities include quality goal setting, supplier quality requirements, quality plans, in-process metrics, field quality status, and quality and project assessments. Dr. Kan has been a faculty member of the Master of Science in Software Engineering program at the University of Minnesota since 1998. He is certified by the American Society for Quality as a Quality Engineer, a Reliability Engineer, and a Quality Manager, and by the Project Management Institute as a Project Management Professional.

0201729156AB08212002

Foreword to the Second Edition
Foreword to the First Edition
Preface
What Is Software Quality?
Quality: Popular Views
Quality: Professional Views
The Role of the Customer
Software Quality
Total Quality Management
Software Development Process Models
The Waterfall Development Model
The Prototyping Approach
The Spiral Model
The Iterative Development Process Model
The Object-Oriented Development Process
The Cleanroom Methodology
The Defect Prevention Process
Process Maturity Framework and Quality Standards
The SEI Process Capability Maturity Model
The SPR Assessment
The Malcolm Baldrige Assessment
ISO 9000
Fundamentals in Measurement Theory
Definition, Operational Definition, and Measurement
Level of Measurement
Some Basic Measures
Reliability and Validity
Measurement Errors
Assessing Reliability
Correction for Attenuation
Be Careful with Correlation
Criteria for Causality
Software Quality Metrics Overview
Product Quality Metrics
The Defect Density Metric
Customer Problems Metric
Customer Satisfaction Metrics
In-Process Quality Metrics
Defect Density During Machine Testing
Defect Arrival Pattern During Machine Testing
Phase-Based Defect Removal Pattern
Defect Removal Effectiveness
Metrics for Software Maintenance
Fix Backlog and Backlog Management Index
Fix Response Time and Fix Responsiveness
Percent Delinquent Fixes
Fix Quality
Examples of Metrics Programs
Motorola
Hewlett-Packard
IBM Rochester
Collecting Software Engineering Data
Applying the Seven Basic Quality Tools in Software Development
Ishikawa's Seven Basic Tools
Checklist
Pareto Diagram
Histogram
Run Charts
Scatter Diagram
Control Chart
Cause-and-Effect Diagram
Relations Diagram
Defect Removal Effectiveness.
Literature Review
A Closer Look at Defect Removal Effectiveness
Defect Removal Effectiveness and Quality Planning
Phase-Based Defect Removal Model
Some Characteristics of a Special Case Two-Phase Model
Cost Effectiveness of Phase Defect Removal
Defect Removal Effectiveness and Process Maturity Level
The Rayleigh Model
Reliability Models
The Rayleigh Model
Basic Assumptions
Implementat
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Looking at software engineering from a historical perspective, the 1960s and earlier could be viewed as the functional era, the 1970s the schedule era, the 1980s the cost era, and the 1990s and beyond the quality and efficiency era. In the 1960s we learned how to exploit information technology to meet institutional needs and began to link software with the daily operations of institutions. In the 1970s, as the industry was characterized by massive schedule delays and cost overruns, the focus was on planning and control of software projects. Phase-based life-cycle models were introduced, and analysis, like the mythical man-month, emerged. In the 1980s hardware costs continued to decline, and information technology permeated every facet of our institutions and became available to individuals. As competition in the industry became keen and low-cost applications became widely implemented, the importance of productivity in software development increased significantly. Various software engineering cost models were developed and used. In the late 1980s, the importance of quality was also recognized. The 1990s and beyond is certainly the quality era. With state-of-the-art technology now able to provide abundant functionality, customers demand high quality. Demand for quality is further intensified by the ever-increasing dependence of society on software. Billing errors, large-scale disrupted telephone services, and even missile failures during recent wars can all be traced to the issue of software quality. In this era, quality has been brought to the center of the software development process. From the standpoint of software vendors, quality is no longer an advantage factor in the marketplace; it has become a necessary condition if a company is to compete successfully. Starting in the mid 1990s two major factors emerged that have proved to have an unprecedented impact on not only software engineering but also on global business environments: business reengineering for efficiency and the Internet. Software development has to be more efficient and the quality level of the delivered products has to be high to meet requirements and to be successful. This is especially the case for mission-critical applications. The adverse impact of poor quality is much more significant and at a much wider scale; the quality "dikes" that software is supposed to provide are never more important. These factors will continue to affect software engineering for many years to come during this new millennium. Measurement plays a critical role in effective and efficient software development, as well as provides the scientific basis for software engineering that makes it a true engineering discipline. This book describes the software quality engineering metrics and models: quality planning, process improvement and quality control, in-process quality management, product engineering (design and code complexity), reliability estimation and projection, and analysis of customer satisfaction data. Many measurement books take an encyclopedic approach, in which every possible software measurement is included, but this book confines its scope to the metrics and models of software quality. Areas such as cost estimation, productivity, staffing, and performance measurement, for which numerous publications exist, are not covered. In this edition, seven new chapters have been added, covering in-process metrics for software testing, object-oriented metrics, availability metrics, in-process quality assessment, software project assessment, process improvement dos and don'ts, and measuring software process improvement. The chapter that described the AS/400 software quality management system has been eliminated. Updates and revisions have been made throughout the original chapters, and new sections, figures, and tables have been added. Two of the new chapters are special co

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Metrics and Models in Software Quality Engineering

Metrics and Models in Software Quality Engineering

0201729156

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