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dc.creatorCapitán Agudo, Carloses
dc.creatorSalas Urbano, Maríaes
dc.creatorCabanillas Macías, Cristinaes
dc.creatorResinas Arias de Reyna, Manueles
dc.date.accessioned2022-12-15T08:50:05Z
dc.date.available2022-12-15T08:50:05Z
dc.date.issued2022
dc.identifier.citationCapitán Agudo, C., Salas Urbano, M., Cabanillas Macías, C. y Resinas Arias de Reyna, M. (2022). Analyzing How Process Mining Reports Answer Time Performance Questions. En BPM 2022: 20th International Conference on Business Process Management (234-250), Münster, Germany: Springer.
dc.identifier.isbn978-3-031-16102-5es
dc.identifier.issn0302-9743es
dc.identifier.urihttps://hdl.handle.net/11441/140485
dc.description.abstractThe advances in process mining have provided process ana lysts with a plethora of different algorithms and techniques that can be used for different purposes. Previous research has studied the relation ship between these techniques and business questions, but how process analysts use them to answer specific questions is not fully understood yet. We are interested in discovering how process analysts respond to specific business questions related to time performance. We have coded 110 answers to time performance questions in more than 60 process min ing reports. As a result, we have identified 55 different operations with 137 variants used in them. We have analyzed the types of answers and their similarities, and examined how contextual information as well as existing process mining support may affect them. The results of the study provide an overview of the current state-of-practice to answer time per formance questions and unveil opportunities to improve process mining tools and the way these questions are answered.es
dc.description.sponsorshipMinisterio de Ciencia e Innovación RTI2018-100763-J-I00es
dc.description.sponsorshipMinisterio de Ciencia e Innovación RTI2018-101204-B-C22 (OPHELIA)es
dc.description.sponsorshipJunta de Andalucía P18-FR-2895 (EKIPMENT-PLUS)es
dc.description.sponsorshipJunta de Andalucía US-1381595 (MEMENTO)es
dc.formatapplication/pdfes
dc.format.extent17es
dc.language.isoenges
dc.publisherSpringeres
dc.relation.ispartofBPM 2022: 20th International Conference on Business Process Management (2022), pp. 234-250.
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internacional*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.subjectProcess mininges
dc.subjectTime performancees
dc.subjectQualitative analysises
dc.subjectQuantitative analysises
dc.subjectBPI Challengees
dc.subjectGrounded Theoryes
dc.titleAnalyzing How Process Mining Reports Answer Time Performance Questionses
dc.typeinfo:eu-repo/semantics/conferenceObjectes
dcterms.identifierhttps://ror.org/03yxnpp24
dc.type.versioninfo:eu-repo/semantics/submittedVersiones
dc.rights.accessRightsinfo:eu-repo/semantics/openAccesses
dc.contributor.affiliationUniversidad de Sevilla. Departamento de Lenguajes y Sistemas Informáticoses
dc.relation.projectIDRTI2018-100763-J-I00es
dc.relation.projectIDRTI2018-101204-B-C22 (OPHELIA)es
dc.relation.projectIDP18-FR-2895 (EKIPMENT-PLUS)es
dc.relation.projectIDUS-1381595 (MEMENTO)es
dc.relation.publisherversionhttps://link.springer.com/chapter/10.1007/978-3-031-16103-2_17es
dc.identifier.doi10.1007/978-3-031-16103-2_17es
dc.contributor.groupUniversidad de Sevilla. TIC-205: Ingeniería del Software Aplicadaes
dc.publication.initialPage234es
dc.publication.endPage250es
dc.eventtitleBPM 2022: 20th International Conference on Business Process Managementes
dc.eventinstitutionMünster, Germanyes
dc.relation.publicationplaceCham, Switzerlandes
dc.contributor.funderMinisterio de Ciencia e Innovación (MICIN). Españaes
dc.contributor.funderJunta de Andalucíaes

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