
Abstraction Refinement for Large Scale Model Checking
Springer (Publisher)
Published on 6. December 2014
Book
Paperback/Softback
XIV, 179 pages
978-1-4899-9395-3 (ISBN)
Description
Abstraction Refinement for Large Scale Model Checking summarizes recent research on abstraction techniques for model checking large digital system. Considering both the size of today's digital systems and the capacity of state-of-the-art verification algorithms, abstraction is the only viable solution for the successful application of model checking techniques to industrial-scale designs. This book describes recent research developments in automatic abstraction refinement techniques. The suite of algorithms presented in this book has demonstrated significant improvement over prior art; some of them have already been adopted by the EDA companies in their commercial/in-house verification tools.
More details
Series
Edition
2006 ed.
Language
English
Place of publication
New York
United States
Target group
Professional and scholarly
Research
Illustrations
XIV, 179 p.
Dimensions
Height: 235 mm
Width: 155 mm
Thickness: 11 mm
Weight
306 gr
ISBN-13
978-1-4899-9395-3 (9781489993953)
DOI
10.1007/0-387-34600-7
Schweitzer Classification
Other editions
Additional editions

Chao Wang | Gary D. Hachtel | Fabio Somenzi
Abstraction Refinement for Large Scale Model Checking
E-Book
09/2006
1st Edition
Springer
€96.29
Available for download

Chao Wang | Gary D. Hachtel | Fabio Somenzi
Abstraction Refinement for Large Scale Model Checking
Book
07/2006
Springer
€106.99
Shipment within 5-7 days
Persons
Chao Wang, Ph.D., is a Professor in the Department of Mathematics at Yunnan Univer-sity. Dr. Wang has authored the books Theory of Translation Closedness for Time Scales andCombined Measure and Shift Invariance Theory of Time Scales and Applications, both publishedby Springer. His research focuses on the fields of nonlinear dynamic systems, controltheory, fuzzy dynamic equations, fractional differential equations, bifurcation theory,nonlinear analysis, and numerical modeling.
Ravi P. Agarwal, Ph.D., is a Professor in the Department of Mathematics at the Texas A&M University-Kingsville. He completed his Ph.D. at the Indian Institute of Technology, Madras, India, in 1973. Dr. Agarwal has authored or co-authored 50 books and 1,750 research articles. His research interests include nonlinear analysis, differential and difference equations, fixed point theory, and generalinequalities.
Content
Symbolic Model Checking.- Abstraction.- Refinement.- Compositional SCC Analysis.- Disjunctive Decomposition.- Far Side Image Computation.- Refining SAT Decision Ordering.- Conclusions.