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SystemVerilog for Verification: A Guide to Learning the Testbench Language Features
By Chris Spear (editor)
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Bibliographic Detail
Publisher Springer-Verlag New York Inc
Publication date August 30, 2006
Pages 301
Binding Hardcover
Book category Adult Non-Fiction
ISBN-13 9780387270364
ISBN-10 0387270361
Dimensions 0.75 by 6 by 9.25 in.
Weight 1.50 lbs.
Availability§ Publisher Out of Stock
Original list price $135.00
§As reported by publisher
Summaries and Reviews
Amazon.com description: Product Description:

SystemVerilog for Verification teaches the reader how to use the power of the new SystemVerilog testbench constructs plus methodology without requiring in-depth knowledge of Object Oriented Programming or Constrained Random Testing. The book covers the SystemVerilog verification constructs such as classes, program blocks, C interface, randomization, and functional coverage. SystemVerilog for Verification also reviews some design topics such as interfaces and array types. There are extensive code examples and detailed explanations. The book will be based on Synopsys courses, seminars, and tutorials that the author developed for SystemVerilog, Vera, RVM, and OOP. Concepts will be built up chapter-by-chapter, and detailed testbench using these topics will be presented in the final chapter. SystemVerilog for Verification concentrates on the best practices for verifying your design using the power of the language. 
 



Editions
Hardcover
Book cover for 9780387270364 Book cover for 9781461407140
 
With Greg Tumbush | 3 edition from Springer-Verlag New York Inc (February 14, 2012)
9781461407140 | details & prices | 464 pages | 6.00 × 9.00 × 1.00 in. | 1.85 lbs | List price $99.00
The price comparison is for this edition
from Springer-Verlag New York Inc (August 30, 2006)
9780387270364 | details & prices | 301 pages | 6.00 × 9.25 × 0.75 in. | 1.50 lbs | List price $135.00
About: SystemVerilog for Verification teaches the reader how to use the power of the new SystemVerilog testbench constructs plus methodology without requiring in-depth knowledge of Object Oriented Programming or Constrained Random Testing.

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