dc.creator | Schönig, Stefan | es |
dc.creator | Cabanillas Macías, Cristina | es |
dc.creator | Jablonski, Stefan | es |
dc.creator | Mendling, Jan | es |
dc.date.accessioned | 2020-11-19T10:10:35Z | |
dc.date.available | 2020-11-19T10:10:35Z | |
dc.date.issued | 2015 | |
dc.identifier.citation | Schönig, S., Cabanillas Macías, C., Jablonski, S. y Mendling, J. (2015). Mining the Organisational Perspective in Agile Business Processes. En CAiSE 2015: 27th International Conference on Advanced Information Systems Engineering (37-52), Stockholm, Sweden: Springer. | |
dc.identifier.isbn | 978-3-319-19236-9 | es |
dc.identifier.issn | 1865-1348 | es |
dc.identifier.uri | https://hdl.handle.net/11441/102723 | |
dc.description.abstract | Agile processes depend on human resources, decisions and
expert knowledge, and they are especially versatile and comprise rather
complex scenarios. Declarative, i.e., rule-based, process models are wellsuited
for modelling these processes. Although there are several mining
techniques to discover such declarative process models from event logs,
they put less emphasis on the organisational perspective, which speci es
how resources are involved in the activities. As a consequence, the resulting
models do not specify who should execute which task and with
which constraint (like separation of duties) in mind. In this paper, we propose
a process mining approach to discover resource-aware, declarative
process models. Our speci c contribution is the extraction of complex
rules for resource assignment that integrate the control-
ow and organisational
perspectives. Our experiments demonstrate the expressiveness
of the mined rules with a reference to the Work
ow Resource Patterns
and a real-world use case. | es |
dc.description.sponsorship | Austrian Research Promotion Agency (FFG) 845638 (SHAPE) | es |
dc.format | application/pdf | es |
dc.format.extent | 15 | es |
dc.language.iso | eng | es |
dc.publisher | Springer | es |
dc.relation.ispartof | CAiSE 2015: 27th International Conference on Advanced Information Systems Engineering (2015), p 37-52 | |
dc.rights | Attribution-NonCommercial-NoDerivatives 4.0 Internacional | * |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | * |
dc.subject | Declarative process mining | es |
dc.subject | Organisational perspective | es |
dc.subject | Resource perspective | es |
dc.subject | Event log analysis | es |
dc.title | Mining the Organisational Perspective in Agile Business Processes | 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 | 845638 (SHAPE) | es |
dc.relation.publisherversion | https://link.springer.com/chapter/10.1007/978-3-319-19237-6_3 | es |
dc.identifier.doi | 10.1007/978-3-319-19237-6_3 | es |
dc.publication.initialPage | 37 | es |
dc.publication.endPage | 52 | es |
dc.eventtitle | CAiSE 2015: 27th International Conference on Advanced Information Systems Engineering | es |
dc.eventinstitution | Stockholm, Sweden | es |
dc.relation.publicationplace | Cham, Switzerland | es |
dc.contributor.funder | Austrian Research Promotion Agency (FFG) | es |