Verification and Validation for Quality of UML 2.0 Models

Features

• Cover Type: Hard Cover with 312 pages
• Published by: Wiley-Interscience July 20, 2005
• Written in: English
• ISBN 10 Number: 0471727830
• ISBN 13 Number: 978-0471727835
• Book Dimensions: 9.3 x 6 x 1 inches
• Weighs: 7.2 pounds

Product Review
"is just the book to help one use the UML effectivelyI highly recommend this book." (Software Quality Professional, December 2006)

"I recommend this book to all those…using UML in small or medium-sized projects…it will serve as a useful guide for their next UML modeling task." (Computing Reviews.com, November 3, 2005)

Product Description
A practical approach to enhancing quality in software models using UML Version 2.0

"Despite its increasing usage, many companies are not taking the best advantage of UML and, occasionally, individuals have experienced frustration in applying its standards. Perhaps this is because they have not yet read this book!"
-From the Foreword by Prof. Brian Henderson-Sellers

This book presents a practical checklist approach to enhancing the quality of software models created with the Unified Modeling Language (UML) Version 2.0. The foundation for quality is set by the discussion on the nature and creation of UML models. This is followed by a demonstration of how to apply verification and validation checks to these models with three foci: syntactical correctness, semantic meaningfulness, and aesthetic symmetry. The quality work is carried out within three distinct yet related modeling spaces:
* Model of problem space (MOPS)
* Model of solution space (MOSS)
* Model of background space (MOBS)

Readers can then choose a specific quality approach according to their roles in their projects.

Verification and validation checks are also organized according to these three modeling spaces, making it easier for the reader to focus on the appropriate diagrams and quality checks corresponding to their modeling space. In addition, a major element of this publication is the Strengths, Weaknesses, Objectives, and Traps (SWOT) analysis. This analysis is performed on each UML diagram, enabling readers to fully comprehend these diagrams, their advantages and limitations, and the way in which they can be used in practical projects for modeling.

A consistent case study of the Lucky Insurance System is provided throughout the chapters to illustrate the creation of good quality UML diagrams, followed by application of quality checks to them. With its emphasis on quality in UML-based projects, this book is an essential resource for all quality professionals, including quality analysts, process consultants, quality managers, test designers, and testers.