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Dataset . 2021
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Data sources: Datacite
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The 2020 Comparison of Tools for the Analysis of Quantitative Formal Models: Results and Reproduction

Authors: Hartmanns, Arnd; Klauck, Michaela;

The 2020 Comparison of Tools for the Analysis of Quantitative Formal Models: Results and Reproduction

Abstract

This archive contains detailed results from QComp 2020 as well as the necessary scripts and data to reproduce them. Visit http://qcomp.org for more information for QComp. Overview of Contents - `qcomp.org/` contains the state of our website from the timepoint of the competition. This includes: - All benchmark files, browsable at `qcomp.org/benchmarks/index.html` - Detailed competition results in a human-readable format, browsable at `https://qcomp.org/competition/2020/` - `logs/` contains the raw logfiles and data gathered by our scripts - `scripts/` contains scripts to replicate the whole competition - `toolpackages/` contains a package for each participating tool which includes - Instructions for obtaining and installing the tool - a file `invocations.json` listing the commandlines used in QComp 2020 - a file `tool.py` providing functionalities to obtain the result from the tool output.

{"references": ["On Correctness, Precision, and Performance in Quantitative Verification - QComp 2020 Competition Report, ISoLA 2020"]}

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Netherlands
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Keywords

Competition, Quantitative Formal Models

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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!
views
OpenAIRE UsageCountsViews provided by UsageCounts
1
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