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https://doi.org/10.1...arrow_drop_down
https://doi.org/10.1007/107224...
Part of book or chapter of book . 2000 . Peer-reviewed
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DBLP
Conference object . 2021
Data sources: DBLP
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Abstraction of Communication Channels in Promela: A Case Study

Authors: Elena Fersman; Bengt Jonsson 0001;

Abstraction of Communication Channels in Promela: A Case Study

Abstract

We present a case study of how abstractions can be applied to a protocol model, written in Promela, in order to make in amenable for exhaustive state-space exploration, e.g., by SPIN. The protocol is a simple version of the Five Packet Handshake Protocol, which is used in TCP for transmission of single messages. We present techniques for abstracting from actual values of messages, sequence numbers, and identifiers in the protocol. Instead, an abstract model of the protocol is constructed of variables which record whether variables and parameters of messages are equal or unequal. The abstraction works because the protocol handles identifiers and parameters of messages in a simple way. The abstracted model contains only on the order of a thousand states, and safety properties have been analyzed by SPIN.

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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!
9
Average
Top 10%
Average
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