Download Abstraction Refinement for Large Scale Model Checking by Chao Wang PDF

By Chao Wang

ISBN-10: 0387341552

ISBN-13: 9780387341552

ISBN-10: 0387346007

ISBN-13: 9780387346007

Abstraction Refinement for big Scale version Checking summarizes contemporary learn on abstraction options for version checking huge electronic approach. contemplating either the dimensions of modern-day electronic platforms and the ability of state of the art verification algorithms, abstraction is the single potential answer for the winning software of version checking recommendations to industrial-scale designs. This ebook describes contemporary study advancements in automated abstraction refinement innovations. The suite of algorithms offered during this e-book has proven 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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Additional resources for Abstraction Refinement for Large Scale Model Checking

Sample text

Ay2 are also called the transition functions of Latch 1 and Latch 2, respectively.

During refinement, one can use spurious counterexamples to guide the identification of missing information in the current abstract model [Kur94, CGJ"^00]. Often, the immediate goal in counterexample guided refinement is to remove the set of spurious counterexamples. That is, one searches for a set of refinement variables such that, adding them into the current abstract model removes the spurious counterexamples. After computing the set of refinement variables, we can build the new abstract model by including their corresponding bit transition relations.

Conceptually, this is how we construct the ROBDD for a given Boolean function. In practice, BDDs are created directly in the fully reduced form without the need to build the original decision tree in the first place. BDDs representing multiple Boolean functions are also merged into a single directed graph to increase the sharing; such a graph would have multiple roots, one for each Boolean function. 9 A BDD is a directed acyclic graph ($ U y U {1},E) representing a set of functions fi : {0,1}^ —> {0,1}.

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Abstraction Refinement for Large Scale Model Checking by Chao Wang


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