Standardized Functional Verification

Standardized Functional Verification

by Alan Wiemann
ISBN-10:
1441944079
ISBN-13:
9781441944078
Pub. Date:
11/04/2010
Publisher:
Springer US
ISBN-10:
1441944079
ISBN-13:
9781441944078
Pub. Date:
11/04/2010
Publisher:
Springer US
Standardized Functional Verification

Standardized Functional Verification

by Alan Wiemann
$139.99
Current price is , Original price is $139.99. You

Overview

Standardized Functional Verification describes the science of functional verification that applies to any digital hardware system. With a precise and comprehensive terminology this book describes a thorough technical framework for achieving superior results with greater efficiency. It also defines a scientific basis for achieving functional closure and shows how true functional closure can be measured by software.

The author provides a wealth of practical guidance to the practicing professional. It describes how to compare results from differing projects and how to assess the risk of functional bugs at tape-out or at any other critical product juncture. The book also shows consumers how to compare IP offerings from multiple vendors. For producers, it describes how to verify IP in a manner that meets customer needs. Producers and consumers of silicon IP therefore have a solid framework to communicate requirements and to align expectations effectively and efficiently.

Standardized Functional Verification is a valuable reference for verification engineers and managers, and also for developers of verification software. The principles and theory this book describes will drive creation of the next generation of verification tools.


Product Details

ISBN-13: 9781441944078
Publisher: Springer US
Publication date: 11/04/2010
Edition description: Softcover reprint of hardcover 1st ed. 2008
Pages: 276
Product dimensions: 6.10(w) x 9.25(h) x 0.24(d)

Table of Contents

A Brief Overview of Functional Verification.- Analytical Foundation.- Exploring Functional Space.- Planning and Execution.- Normalizing Data.- Analyzing Results.- Assessing Risk.
From the B&N Reads Blog

Customer Reviews