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Symbolic verification of Boolean constraints over partially specified functions

Authors: S. Sriram; R. Tandon; Pallab Dasgupta; P. P. Chakrabarti 0001;

Symbolic verification of Boolean constraints over partially specified functions

Abstract

Incomplete or partial specifications arise out of mistakes in design or purposefully to avoid loss of generality in application. When designing a system with several partially specified functions, we often impose constraints on the global behavior of the system. In this paper we study the problem of verifying whether a set of partially specified functions meets such constraints. We show that the problem is /spl Pi//sub 2//sup P/ complete. While symbolic BDD-based algorithms have been widely used for propositional satifiability (/spl Sigma//sub 1//sup P/ complete) and validity (/spl Pi//sub 1//sup P/ complete) problems, the structure of BDDs is not natural for solving /spl Pi//sub 2//sup P/ complete problems. We present a two-step BDD-based method for solving the above /spl Pi//sub 2//sup P/ complete problem and show that the method is effective when the number of functions is small.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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Average
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