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Abstraction Refinement for Large Scale Model Checking
Kategorie	Beschreibung
036a	XD-US
037b	eng
087q	978-0-387-34155-2
100b	Wang, Chao
104b	Hachtel, Gary D.
108b	Somenzi, Fabio
331	Abstraction Refinement for Large Scale Model Checking
410	Boston, MA
412	Springer Science+Business Media, LLC
425	2006
425a	2006
433	Online-Ressource (XIV, 179 p, digital)
451b	Series on Integrated Circuits and Systems
501	Includes bibliographical references and index
517	Introduction; Symbolic Model Checking; Abstraction; Refinement; Compositional SCC Analysis; Disjunctive Decomposition; Far Side Image Computation; Refining SAT Decision Ordering; Conclusions
527	Buchausg. u.d.T.ISBN: 978-0-387-34155-2
540a	ISBN 978-0-387-34600-7
700	\|TJFC
700	\|TEC008010
700	\|THR
700	\|TEC007000
700b	\|621.3815
700b	\|621.3
700b	\|004.21
700b	\|330
700c	\|TK7888.4
750	Symbolic Model Checking -- Abstraction -- Refinement -- Compositional SCC Analysis -- Disjunctive Decomposition -- Far Side Image Computation -- Refining SAT Decision Ordering -- Conclusions.
753	Abstraction Refinement for Large Scale Model Checking summarizes recent research on abstraction techniques for model checking large digital systems. 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 authors address the main challenge in abstraction refinement, i.e., the ability to efficiently reach or come close to the optimum abstraction (the smallest abstract model that proves or refutes the given property). A suite of fully automatic abstraction techniques are proposed to improve the overall computation efficiency. The suite of algorithms presented in this book has demonstrated significant improvement over the prior art; some of them have already been adopted by the EDA companies in their commercial/in-house verification tools. Abstraction Refinement for Large Scale Model Checking will be of interest to EDA researchers and tool developers, verification engineers, as well as people who are in the general areas of computer science and want to know the state-of-the-art of formal verification.
012	264336801
081	Abstraction Refinement for Large Scale Model Checking
100	Springer E-Book
125a	Elektronischer Volltext - Campuslizenz
655e	$uhttp://dx.doi.org/10.1007/0-387-34600-7