Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/49969
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dc.date.accessioned2026-09-02T12:17:29Z-
dc.date.available2026-09-02T12:17:29Z-
dc.date.issued2026-
dc.date.submitted2026-09-02T12:07:38Z-
dc.identifier.citationZenodo. 10.5281/zenodo.19119437 https://zenodo.org/doi/10.5281/zenodo.19119437-
dc.identifier.urihttp://hdl.handle.net/1942/49969-
dc.description.abstractThis repository contains the source code, interim data, and results for the study "Validity Criteria for Explaining Variation in Process Complexity". The material includes: Source code and final results for the simulation experiments (source_code.zip). Instructions for execution and .zip-archive structure are provided within the README.md part of source_code.zip. Raw simulated event logs (logs_01.tar - logs_05.tar). See README.md within source_code.zip for details. Mined complexity values for simulated logs (per_sample_metrics.csv). See README.md within source_code.zip for details. The source code (source_code.zip) includes two plugins from other authors: plugins/cdlg_tool Paper: Justus Grimm, Alexander Kraus, Han van der Aa: CDLG: A Tool for the Generation of Event Logs with Concept Drifts. BPM (PhD/Demos) 2022: 92-96 Link: https://gitlab.uni-mannheim.de/processanalytics/cdlg_tool plugins/vidgof_complexity Paper: Adriano Augusto, Jan Mendling, Maxim Vidgof, Bastian Wurm: The connection between process complexity of event sequences and models discovered by process mining. Inf. Sci. 598: 196-215 (2022) Link: https://github.com/MaxVidgof/process-complexity-
dc.language.isonl-
dc.publisherZenodo-
dc.subject.classificationBusiness information management-
dc.subject.otherProcess complexity-
dc.subject.otherExplaining variation-
dc.subject.otherValidity criteria-
dc.subject.otherBusiness Process Management-
dc.subject.otherBPM-
dc.subject.otherBPM 2026-
dc.titleSource code, interim data and results for study "Validity Criteria for Explaining Variation in Process Complexity", BPM 2026-
dc.typeDataset-
local.bibliographicCitation.jcatDS-
dc.description.versionGroupsnr-
dc.rights.licenseCreative Commons Attribution 4.0 International (CC-BY-4.0)-
dc.identifier.doi10.5281/zenodo.19119437-
dc.identifier.urlhttps://zenodo.org/doi/10.5281/zenodo.19119437-
local.provider.typedatacite-
local.uhasselt.internationalyes-
local.contributor.datacreatorEbert, Lennart-
local.contributor.datacreatorRevoredo, Kate-
local.contributor.datacreatorMendling, Jan-
local.contributor.datacreatorDEPAIRE, Benoit-
local.contributor.datacuratorDEPAIRE, Benoit-
local.contributor.rightsholderebert, lennart-
local.format.extent23 GB-
local.format.mimetypezip and tar-
local.contributororcid.datacreator0009-0004-4920-7528-
local.contributororcid.datacreator0000-0001-8914-9132-
local.contributororcid.datacreator0000-0002-7260-524X-
local.contributororcid.datacreator0000-0003-4735-0609-
dc.rights.accessOpen Access-
item.fullcitationEbert, Lennart; Revoredo, Kate; Mendling, Jan & DEPAIRE, Benoit (2026) Source code, interim data and results for study "Validity Criteria for Explaining Variation in Process Complexity", BPM 2026. Zenodo. 10.5281/zenodo.19119437 https://zenodo.org/doi/10.5281/zenodo.19119437.-
item.contributorEbert, Lennart-
item.contributorRevoredo, Kate-
item.contributorMendling, Jan-
item.contributorDEPAIRE, Benoit-
item.contributorebert, lennart-
item.fulltextNo Fulltext-
item.accessRightsClosed Access-
crisitem.discipline.code05020601-
crisitem.discipline.nameBusiness information management-
crisitem.discipline.pathSocial sciences > Economics and business > Management > Business information management-
crisitem.discipline.pathandcodeSocial sciences > Economics and business > Management > Business information management (05020601)-
crisitem.license.codeCC-BY-4.0-
crisitem.license.nameCreative Commons Attribution 4.0 International (CC-BY-4.0)-
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