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Auxiliary State Machines and Auxiliary Functions: Constructs for Extending AMS Assertions

Authors: Subhankar Mukherjee 0001; Pallab Dasgupta;

Auxiliary State Machines and Auxiliary Functions: Constructs for Extending AMS Assertions

Abstract

As research on developing assertion languages for the AMS domain gains in momentum, it is increasingly being felt that extensions of existing assertion languages like PSL and SVA into the AMS domain are not adequate for expressing the analog design intent. This is largely due to the intricacy of the analog behavioral intent which cannot be captured purely in terms of logic. In this paper we show that by using auxiliary forms of formal specifications such as abstract state machines and real valued functions as references for AMS assertions, it becomes possible to model complex AMS behavioral properties. This approach leverages the growing adoption of AMS behavioral modeling in the industry. The paper also shows that the use of auxiliary state machines allows us to separate out the scope of different analog assertions leading to significant performance gains in the assertion checking overhead.

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Powered by OpenAIRE graph
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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!
5
Average
Top 10%
Average
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