Download e-book for iPad: Abstraction Refinement for Large Scale Model Checking by Chao Wang

By Chao Wang

ISBN-10: 0387341552

ISBN-13: 9780387341552

ISBN-10: 0387346007

ISBN-13: 9780387346007

Abstraction Refinement for giant Scale version Checking summarizes fresh study on abstraction options for version checking huge electronic approach. contemplating either the dimensions of cutting-edge electronic structures and the skill of state of the art verification algorithms, abstraction is the single achievable answer for the winning software of version checking ideas to industrial-scale designs. This publication describes fresh study advancements in computerized abstraction refinement strategies. The suite of algorithms offered during this e-book has validated major development over previous paintings; a few of them have already been followed by means of the EDA businesses of their commercial/in-house verification instruments.

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DEFINITION m 1 is the only terminal node whose out-degree is 0. m V is the set of internal nodes whose out-degree is 2 and whose indegree is 1. Every node v ^ V corresponds to a Boolean variable l{v) in the support of functions {fi}; the n variables {l{v)} in the entire graph are ordered as follows: if Vj is a descendant of vi, then l{Vj)

Symbolic model checking based on BDDs, introduced by McMillan [McM94], is considered as a major breakthrough in increasing the model checker's capacity, leading to the subsequently widespread acceptance of model checking in the computer hardware industry. Given a Boolean function, we can build a binary decision tree by obeying a linear order of decision variables; that is, along any path from root to leaf, the variables appear in the same order and no variable appears more than once. We further restrict the form of the decision tree by repeatedly merging any duplicate nodes and removing nodes whose if and else branches are pointing to the same child node.

To simplify verification, we want to retain only the relevant details with respect to deciding the property at hand. The key issue in abstraction refinement is identifying in advance which part of the model is relevant and which is not. There are automatic techniques for computing a simplified model in which an certain class of temporal logic properties can be preserved. For instance, bi-simulation based reduction [Mil71, DHWT91] preserves the full propositional /i-calculus (hence the entire CTL since all CTL formulae can be evaluated through the translation to fixpoint computations in propositional /i-calculus).

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Abstraction Refinement for Large Scale Model Checking by Chao Wang


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