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Analyzing How Process Mining Reports Answer Time Performance Questions
dc.creator | Capitán Agudo, Carlos | es |
dc.creator | Salas Urbano, María | es |
dc.creator | Cabanillas Macías, Cristina | es |
dc.creator | Resinas Arias de Reyna, Manuel | es |
dc.date.accessioned | 2022-12-15T08:50:05Z | |
dc.date.available | 2022-12-15T08:50:05Z | |
dc.date.issued | 2022 | |
dc.identifier.citation | Capitán 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.isbn | 978-3-031-16102-5 | es |
dc.identifier.issn | 0302-9743 | es |
dc.identifier.uri | https://hdl.handle.net/11441/140485 | |
dc.description.abstract | The 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.sponsorship | Ministerio de Ciencia e Innovación RTI2018-100763-J-I00 | es |
dc.description.sponsorship | Ministerio de Ciencia e Innovación RTI2018-101204-B-C22 (OPHELIA) | es |
dc.description.sponsorship | Junta de Andalucía P18-FR-2895 (EKIPMENT-PLUS) | es |
dc.description.sponsorship | Junta de Andalucía US-1381595 (MEMENTO) | es |
dc.format | application/pdf | es |
dc.format.extent | 17 | es |
dc.language.iso | eng | es |
dc.publisher | Springer | es |
dc.relation.ispartof | BPM 2022: 20th International Conference on Business Process Management (2022), pp. 234-250. | |
dc.rights | Attribution-NonCommercial-NoDerivatives 4.0 Internacional | * |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | * |
dc.subject | Process mining | es |
dc.subject | Time performance | es |
dc.subject | Qualitative analysis | es |
dc.subject | Quantitative analysis | es |
dc.subject | BPI Challenge | es |
dc.subject | Grounded Theory | es |
dc.title | Analyzing How Process Mining Reports Answer Time Performance Questions | es |
dc.type | info:eu-repo/semantics/conferenceObject | es |
dcterms.identifier | https://ror.org/03yxnpp24 | |
dc.type.version | info:eu-repo/semantics/submittedVersion | es |
dc.rights.accessRights | info:eu-repo/semantics/openAccess | es |
dc.contributor.affiliation | Universidad de Sevilla. Departamento de Lenguajes y Sistemas Informáticos | es |
dc.relation.projectID | RTI2018-100763-J-I00 | es |
dc.relation.projectID | RTI2018-101204-B-C22 (OPHELIA) | es |
dc.relation.projectID | P18-FR-2895 (EKIPMENT-PLUS) | es |
dc.relation.projectID | US-1381595 (MEMENTO) | es |
dc.relation.publisherversion | https://link.springer.com/chapter/10.1007/978-3-031-16103-2_17 | es |
dc.identifier.doi | 10.1007/978-3-031-16103-2_17 | es |
dc.contributor.group | Universidad de Sevilla. TIC-205: Ingeniería del Software Aplicada | es |
dc.publication.initialPage | 234 | es |
dc.publication.endPage | 250 | es |
dc.eventtitle | BPM 2022: 20th International Conference on Business Process Management | es |
dc.eventinstitution | Münster, Germany | es |
dc.relation.publicationplace | Cham, Switzerland | es |
dc.contributor.funder | Ministerio de Ciencia e Innovación (MICIN). España | es |
dc.contributor.funder | Junta de Andalucía | es |
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978-3-031-16103-2_17.pdf | 900.6Kb | [PDF] | Ver/ | |