dc.contributor.editor | Polyvyanyy, Artem | es |
dc.creator | Pérez Álvarez, José Miguel | es |
dc.creator | Cancela Díaz, Antonio | es |
dc.creator | Parody Núñez, María Luisa | es |
dc.creator | Reina Quintero, Antonia María | es |
dc.creator | Gómez López, María Teresa | es |
dc.date.accessioned | 2022-12-07T10:47:07Z | |
dc.date.available | 2022-12-07T10:47:07Z | |
dc.date.issued | 2022 | |
dc.identifier.citation | Pérez Álvarez, J.M., Cancela Díaz, A.,...,Gómez López, M.T. (2022). Process Instance Query Language and the Process Querying Framework. En A. Polyvyanyy (Ed.), Process Querying Methods (pp. 85-111). Cham, Switzerland: Springer. | |
dc.identifier.isbn | 978-3-030-92874-2 | es |
dc.identifier.uri | https://hdl.handle.net/11441/140200 | |
dc.description.abstract | The use of Business Process Management Systems (BPMSs) allows com panies to manage the data that flows through process models (business instances)
and to monitor all the information and actions concerning a process execution. In
general, the retrieval of this information is used not only to measure whether the pro cess works as expected but also to enable assistance in future process improvements
by means of a postmortem analysis. This chapter shows how the measures extracted
from the process instances can be employed to adapt business process executions
according to other instances or other processes, thereby facilitating the adjustment
of the process behavior at run-time to the organization needs. A language, named
Process Instance Query Language (PIQL), is introduced. This language allows
business users to query the process instance measures at run-time. These measures
may be used both inside and outside the business processes. As a consequence, PIQL
might be used in various scenarios, such as in the enrichment of the information used
in Decision Model and Notation tables, in the determination of the most suitable
business process to execute at run-time, and in the query of the instance measures
from a dashboard. Finally, an example is introduced to demonstrate PIQL. | es |
dc.description.sponsorship | Junta de Andalucía P20-01224 (COPERNICA) | es |
dc.description.sponsorship | Junta de Andalucía US-1381375 (METAMORFOSIS) | es |
dc.format | application/pdf | es |
dc.format.extent | 27 | es |
dc.language.iso | eng | es |
dc.publisher | Springer | es |
dc.relation.ispartof | Process Querying Methods | es |
dc.rights | Attribution-NonCommercial-NoDerivatives 4.0 Internacional | * |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | * |
dc.title | Process Instance Query Language and the Process Querying Framework | es |
dc.type | info:eu-repo/semantics/bookPart | 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 | P20-01224 (COPERNICA) | es |
dc.relation.projectID | US-1381375 (METAMORFOSIS) | es |
dc.relation.publisherversion | https://link.springer.com/chapter/10.1007/978-3-030-92875-9_4 | es |
dc.identifier.doi | 10.1007/978-3-030-92875-9_4 | es |
dc.contributor.group | Universidad de Sevilla. TIC-258: Data-centric Computing Research Hub | es |
dc.publication.initialPage | 85 | es |
dc.publication.endPage | 111 | es |
dc.relation.publicationplace | Cham, Switzerland | es |
dc.contributor.funder | Junta de Andalucía | es |