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Can I read Functional Verification Coverage Measurement and Analysis (Information Technology: Transmission, Processing & Storage) on EtoBox?

Functional Verification Coverage Measurement and Analysis (Information Technology: Transmission, Processing & Storage) by Andrew Piziali (auth.) is a nonfiction available to read on EtoBox.

What is Functional Verification Coverage Measurement and Analysis (Information Technology: Transmission, Processing & Storage) about?

**Functional Verification Coverage Measurement and Analysis** addresses a means of quantitatively assessing functional verification progress. Without this process, design and verification engineers, and their management, are left guessing whether or not they have completed verifying the device they are designing. Using the techniques described in this book, they will learn how to build a toolset which allows them to know how close they are to functional closure. **Functional Verification Coverage Measurement and Analysis** is the first book to introduce a useful taxonomy for coverage metric classification. Using this taxonomy, the reader clearly understands the process of creating an effective coverage model. A must read! __- Harry Foster, Jasper Design Automation, Co-Author of Assertion-Based Design__ Andrew's book is the most thoughtful and comprehensive treatment of coverage I have seen. I recommend reading (and re-reading) this book to anybody who is really serious about functional verification. __- Yoav Hollander, CTO, Verisity Design__ In the last few years, coverage has become a must in hardware verification and in software testing. From having to push people to use coverage

Who reads Functional Verification Coverage Measurement and Analysis (Information Technology: Transmission, Processing & Storage)?

It is typically read by self-directed learners exploring a subject in depth.

Common subject areas: history, science, philosophy, social sciences.

Author
Andrew Piziali (auth.)
Publisher
Springer Science+Business Media, LLC
Published
2008
Language
EN
ISBN
9780387739922
Category
nonfiction
Subjects
Engineering, Mathematics, Computer Science

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