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Metrics and models in software quality engineering / Stephen H. Kan ; [foreword by Capers Jones].

By: Material type: TextTextPublication details: Boston : Addison-Wesley, c2003.Edition: 2nd edDescription: xxvii, 528 p. : ill. ; 24 cmISBN:
  • 0201729156
  • 9780201729153
Subject(s): DDC classification:
  • 005.10685   22
Contents:
Preface -- 1. What Is Software Quality? -- 2. Software Development Process Models -- 3. Fundamentals in Measurement Theory -- 4. Software Quality Metrics Overview -- 5. Applying the Seven Basic Quality Tools in Software Development -- 6. Defect Removal Effectiveness -- 7. The Rayleigh Model -- 8. Exponential Distribution and Reliability Growth Models -- 9. Quality Management Models --10. In-Process Metrics for Software Testing -- 11. Complexity Metrics and Models -- 12. Metrics and Lessons Learned for Object-Oriented Projects -- 13. Availability Metrics -- 14. Measuring and Analyzing Customer Satisfaction -- 15. Conducting In-Process Quality Assessments -- 16. Conducting Software Project Assessments -- 17. Dos and Don'ts of Software Process Improvement -- 18. Using Function Point Metrics to Measure Software Process Improvement -- 19. Concluding Remarks.
Summary: 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.
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Holdings
Item type Current library Call number Copy number Status Date due Barcode
Books Books Main library General Stacks 005.10685 / KA.M 2003 (Browse shelf(Opens below)) 1 Available 011104
Books Books Main library General Stacks 005.10685 / KA.M 2003 (Browse shelf(Opens below)) 2 Available 011105
Books Books Main library General Stacks 005.10685 / KA.M 2003 (Browse shelf(Opens below)) 3 Available 011103

Includes bibliographical references and index.

Preface -- 1. What Is Software Quality? -- 2. Software Development Process Models -- 3. Fundamentals in Measurement Theory -- 4. Software Quality Metrics Overview -- 5. Applying the Seven Basic Quality Tools in Software Development -- 6. Defect Removal Effectiveness -- 7. The Rayleigh Model -- 8. Exponential Distribution and Reliability Growth Models -- 9. Quality Management Models --10. In-Process Metrics for Software Testing -- 11. Complexity Metrics and Models -- 12. Metrics and Lessons Learned for Object-Oriented Projects -- 13. Availability Metrics -- 14. Measuring and Analyzing Customer Satisfaction -- 15. Conducting In-Process Quality Assessments -- 16. Conducting Software Project Assessments -- 17. Dos and Don'ts of Software Process Improvement -- 18. Using Function Point Metrics to Measure Software Process Improvement -- 19. Concluding Remarks.

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.

APPSCIE, GWORKS

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