Dataset Open Access
Étienne André;
Dylan Marinho;
Laure Petrucci;
Jaco van de Pol
<?xml version='1.0' encoding='utf-8'?> <resource xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns="http://datacite.org/schema/kernel-4" xsi:schemaLocation="http://datacite.org/schema/kernel-4 http://schema.datacite.org/meta/kernel-4.1/metadata.xsd"> <identifier identifierType="DOI">10.5281/zenodo.6806915</identifier> <creators> <creator> <creatorName>Étienne André</creatorName> <nameIdentifier nameIdentifierScheme="ORCID" schemeURI="http://orcid.org/">0000-0001-8473-9555</nameIdentifier> <affiliation>Université de Lorraine, CNRS, Inria, LORIA, Nancy, France</affiliation> </creator> <creator> <creatorName>Dylan Marinho</creatorName> <nameIdentifier nameIdentifierScheme="ORCID" schemeURI="http://orcid.org/">0000-0002-2548-6196</nameIdentifier> <affiliation>Université de Lorraine, CNRS, Inria, LORIA, Nancy, France</affiliation> </creator> <creator> <creatorName>Laure Petrucci</creatorName> <nameIdentifier nameIdentifierScheme="ORCID" schemeURI="http://orcid.org/">0000-0003-3154-5268</nameIdentifier> <affiliation>LIPN, CNRS UMR 7030, Université Sorbonne Paris Nord, Villetaneuse, France</affiliation> </creator> <creator> <creatorName>Jaco van de Pol</creatorName> <nameIdentifier nameIdentifierScheme="ORCID" schemeURI="http://orcid.org/">0000-0003-4305-0625</nameIdentifier> <affiliation>Aarhus University, Aarhus, Denmark</affiliation> </creator> </creators> <titles> <title>Data for paper "Efficient Convex Zone Merging in Parametric Timed Automata"</title> </titles> <publisher>Zenodo</publisher> <publicationYear>2022</publicationYear> <subjects> <subject>timed automata</subject> <subject>parametric timed automata</subject> <subject>parametric timed model checking</subject> <subject>convex merging</subject> <subject>parameter synthesis</subject> <subject>formal verification</subject> </subjects> <contributors> <contributor contributorType="DataManager"> <contributorName>Dylan Marinho</contributorName> <nameIdentifier nameIdentifierScheme="ORCID" schemeURI="http://orcid.org/">0000-0002-2548-6196</nameIdentifier> <affiliation>Université de Lorraine, CNRS, Inria, LORIA, F-54000 Nancy, France</affiliation> </contributor> </contributors> <dates> <date dateType="Issued">2022-07-07</date> </dates> <language>en</language> <resourceType resourceTypeGeneral="Dataset"/> <alternateIdentifiers> <alternateIdentifier alternateIdentifierType="url">https://zenodo.org/record/6806915</alternateIdentifier> </alternateIdentifiers> <relatedIdentifiers> <relatedIdentifier relatedIdentifierType="DOI" relationType="IsVersionOf">10.5281/zenodo.6806914</relatedIdentifier> </relatedIdentifiers> <version>1.0</version> <rightsList> <rights rightsURI="https://creativecommons.org/licenses/by/4.0/legalcode">Creative Commons Attribution 4.0 International</rights> <rights rightsURI="info:eu-repo/semantics/openAccess">Open Access</rights> </rightsList> <descriptions> <description descriptionType="Abstract"><p>This is the experimental data for paper &quot;Efficient Convex Zone Merging in Parametric Timed Automata&quot;</p> <p>It comes in the form of two archives:</p> <ol> <li><strong>merging-artifact.zip</strong>: the whole set of benchmarks with the scripts to run</li> <li><strong>merging-artifact-FORMATS22-results.zip</strong>: all results executed 5 times</li> </ol></description> </descriptions> <fundingReferences> <fundingReference> <funderName>Agence Nationale de la Recherche</funderName> <funderIdentifier funderIdentifierType="Crossref Funder ID">10.13039/501100001665</funderIdentifier> <awardNumber awardURI="info:eu-repo/grantAgreement/ANR//ANR-19-CE25-0015/">ANR-19-CE25-0015</awardNumber> <awardTitle>Provable Mitigation of Side Channel through Parametric Verification</awardTitle> </fundingReference> </fundingReferences> </resource>
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