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Linear-time–Branching-time Spectroscope: TACAS 2021 Edition

Authors: Bisping, Benjamin;

Linear-time–Branching-time Spectroscope: TACAS 2021 Edition

Abstract

The “Linear-time–Branching-time Spectroscope” is a web app to find all preorders, equivalences and inequivalences from the (strong) linear-time–branching-time spectrum for small processes. The artifact contains the tool together with some tests, and a program to generate the distinguishing formulas for interesting processes named in the paper. The tool is also available via https://concurrency-theory.org/ltbt-spectroscope/. The corresponding TACAS 2021 paper introduces a generalization of the bisimulation game that can be employed to find all relevant distinguishing Hennessy--Milner logic formulas for two compared finite-state processes. Using these, we can give a precise characterization of how much distinguishing power is needed to tell two processes apart—and thus also determine the best fit of equivalences to equate them. The tool also displays the game on top of the transition system, although it (for now) needs some training to read this visualization.

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Keywords

linear time branching time spectrum, distinguishing formulas, computer science, process equivalences

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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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