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https://dx.doi.org/10.48550/ar...
Article . 2022
License: CC BY
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https://dx.doi.org/10.18154/rw...
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Towards Concurrent Quantitative Separation Logic

Authors: Fesefeldt, Ira Justus; Katoen, Joost-Pieter; Noll, Thomas;

Towards Concurrent Quantitative Separation Logic

Abstract

In this paper, we develop a novel verification technique to reason about programs featuring concurrency, pointers and randomization. While the integration of concurrency and pointers is well studied, little is known about the combination of all three paradigms. To close this gap, we combine two kinds of separation logic -- Quantitative Separation Logic and Concurrent Separation Logic -- into a new separation logic that enables reasoning about lower bounds of the probability to realise a postcondition by executing such a program.

Extended version of CONCUR'22 paper

Keywords

Mathematics of computing ? Probabilistic reasoning algorithms, FOS: Computer and information sciences, Computer Science - Logic in Computer Science, Computer Science - Programming Languages, Separation Logic, Mathematics of computing → Probabilistic reasoning algorithms, Randomization, Pointers, Heap-Manipulating, 004, Logic in Computer Science (cs.LO), Theory of computation ? Program verification, Theory of computation → Concurrent algorithms, Concurrency, Theory of computation → Program verification, Theory of computation ? Concurrent algorithms, Programming Languages (cs.PL), ddc: ddc:004

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selected citations
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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!
0
Average
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