- Hardcover: 560 pages
- Publisher: Addison-Wesley Professional; 2 edition (Sep 26 2002)
- Language: English
- ISBN-10: 0201729156
- ISBN-13: 978-0201729153
- Product Dimensions: 24.3 x 19 x 3.5 cm
- Shipping Weight: 1.3 Kg
- Average Customer Review: 4.7 out of 5 stars See all reviews (7 customer reviews)
- Amazon Bestsellers Rank: #165,731 in Books (See Top 100 in Books)
- See Complete Table of Contents
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Product Details |
Product Description
Product Description
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.
Ingram
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.
--This text refers to an out of print or unavailable edition of this title.
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Most helpful customer reviews
1 of 1 people found the following review helpful:
5.0 out of 5 stars
Quality Models,
By Dmitry Vostokov (Monkstown, Co. Dublin Ireland) - See all my reviews
This review is from: Metrics and Models in Software Quality Engineering (Hardcover)
I bought this book because it covers Quality Models as well. That was very helpful for me to understand Quality Modeling.
5.0 out of 5 stars
Second Ed. even better!,
By Mike Tarrani "www.tarrani.com" (Deltona, FL USA) - See all my reviews (TOP 1000 REVIEWER) (REAL NAME)
This review is from: Metrics and Models in Software Quality Engineering (Hardcover)
This is one of the most highly regarded books on software quality. If you have never read the first edition it was one of the few books that covered software quality in depth, going well beyond metrics and models into strategies for achieving quality, and understanding the underlying principles and mechanics. That edition had a lot of life left in it, but this second edition is one of the most complete rewrites of any technical book I've read in recent memory, and if you own the first edition you may want to consider retiring it and investing in this edition.While the first edition packed a lot of information in 344 pages, the 560 pages that comprise this edition reflect new chapters and expanded content in the chapters that remain. Here is a list of the new chapters: - Chapter 10, In-Process Metrics for Software Testing Among the new chapters I most like are Availability Metrics (Chapter 13), because of the direct tie to production, and Dos and Don'ts of Software Process Improvement (Chapter 17) because of the practical and objective advice. This book will remain, in my opinion, one of the definitive texts on software quality and is one I highly recommend.
3.0 out of 5 stars
Review,
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This review is from: Metrics and Models in Software Quality Engineering (Hardcover)
Solid information which not covers the basic development lifecycle and it's components but also the bigger picture e.g. predictive analyses, reflective metrics, customer satisfaction measurement, etc. A good read, informative and it won't scare a novice. Recommended.
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