000			03154nam a22004935i 4500
001			978-0-387-34600-7
003			DE-He213
005			20170628033309.0
007			cr nn 008mamaa
008			100301s2006 xxu| s |||| 0|eng d
020			_a9780387346007 _9978-0-387-34600-7
024	7		_a10.1007/0-387-34600-7 _2doi
050		4	_aTK7888.4
072		7	_aTJFC _2bicssc
072		7	_aTEC008010 _2bisacsh
082	0	4	_a621.3815 _223
100	1		_aWang, Chao. _eauthor.
245	1	0	_aAbstraction Refinement for Large Scale Model Checking _h[electronic resource] / _cby Chao Wang, Gary D. Hachtel, Fabio Somenzi.
264		1	_aBoston, MA : _bSpringer US, _c2006.
300			_aXIV, 179 p. _bonline resource.
336			_atext _btxt _2rdacontent
337			_acomputer _bc _2rdamedia
338			_aonline resource _bcr _2rdacarrier
347			_atext file _bPDF _2rda
490	1		_aSeries on Integrated Circuits and Systems, _x1558-9412
505	0		_aSymbolic Model Checking -- Abstraction -- Refinement -- Compositional SCC Analysis -- Disjunctive Decomposition -- Far Side Image Computation -- Refining SAT Decision Ordering -- Conclusions.
520			_aAbstraction 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.
650		0	_aEngineering.
650		0	_aComputer aided design.
650		0	_aSystems engineering.
650	1	4	_aEngineering.
650	2	4	_aCircuits and Systems.
650	2	4	_aComputer-Aided Engineering (CAD, CAE) and Design.
650	2	4	_aElectronic and Computer Engineering.
700	1		_aHachtel, Gary D. _eauthor.
700	1		_aSomenzi, Fabio. _eauthor.
710	2		_aSpringerLink (Online service)
773	0		_tSpringer eBooks
776	0	8	_iPrinted edition: _z9780387341552
830		0	_aSeries on Integrated Circuits and Systems, _x1558-9412
856	4	0	_uhttp://dx.doi.org/10.1007/0-387-34600-7
912			_aZDB-2-ENG
999			_c14542 _d14542