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Addison Wesley - CMMI - Guidelines for Process Integration and Product Improvement(1).pdf

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Addison Wesley - CMMI - Guidelines for Process Integration and Product Improvement(1).pdf

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• Table of Contents
CMMI®: Guidelines for Process Integration and Product Improvement
By Mary Beth Chrissis, Mike Konrad, Sandy Shrum

Publisher: Addison Wesley
Date
: February 21, 2003
Published
ISBN: 0-321-15496-7
Pages: 688
anizations use Capability Maturity Models® (CMMs®) to assess development and maintenance
processes, implement improvements, and measure progress. Although consistent in purpose, these
models differ in terminology and design-enough sometimes to cause conflict and confusion when used
within the anization. Addressing the need for a more coordinated approach, Capability Maturity
Model Integration (CMMI®) provides a single framework for improvement in software engineering,
systems engineering, integrated product and process development, and supplier sourcing.
This book is the definitive reference for the most current release of CMMI models. To use a CMMI model
available on the SEI Web site, users must choose from among multiple models based on their
organization's improvement needs. This book provides a single source for all CMMI model information.
Readers can get started without having to select a model first-all of the choices piled in one place
and explained in detail.
The book begins with background information needed to understand the content and structure of these
integrated models and how to use them. A case study illustrates their implementation in a real
environment. A variety of practical material, such as glossary and index, is also provided. The bulk of the
prises the content of all CMMI models, covering the 25 process areas (PAs) that span the
product life cycle, including detailed best practices.
All CMMI models have two representations. The continuous representation allows anization to
improve using selected PAs at different rates. The staged representation anizations to follow
a predefined and proven improvement path using multiple PAs. Both representations are described so
that r

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