dc.creator | Pérez Álvarez, José Miguel | es |
dc.creator | Gómez López, María Teresa | es |
dc.creator | Parody Núñez, María Luisa | es |
dc.creator | Martínez Gasca, Rafael | es |
dc.date.accessioned | 2020-06-12T08:53:26Z | |
dc.date.available | 2020-06-12T08:53:26Z | |
dc.date.issued | 2016 | |
dc.identifier.citation | Pérez Álvarez, J.M., Gómez López, M.T., Parody Núñez, M.L. y Martínez Gasca, R. (2016). Process Instance Query Language to Include Process Performance Indicators in DMN. En EDOCW 2016: IEEE 20th International Enterprise Distributed Object Computing Workshop Vienna, Austria: IEEE Computer Society. | |
dc.identifier.isbn | 978-1-4673-9933-3 | es |
dc.identifier.issn | 2325-6605 | es |
dc.identifier.uri | https://hdl.handle.net/11441/97726 | |
dc.description.abstract | Companies are increasingly incorporating commercial
Business Process Management Systems (BPMSs) as mechanisms
to automate their daily procedures. These BPMSs manage
the information related to the instances that flow through the
model (business data), and recover the information concerning
the process performance (Process Performance Indicators).
Process Performance Indicators (PPIs) tend to be used for the
detection of possible deviations of expected behaviour, and help in
the post-mortem analysis and redesign by improving the goals of
the processes. However, not only are PPIs important in terms of
their ability to measure and detect a derivation, but they should
also be included at decision points to make the business processes
more adaptable to the process reality at runtime. In this paper,
we propose a complete solution that allows the incorporation of
the PPIs into decision tasks, following the Decision Model and
Notation (DMN) standard, with the aim of enriching the decisions
that can be taken during the process execution. Our proposal
firstly includes an extension of the decision rule grammar of the
DMN standard, by incorporating the definition and the use of a
Process Instance Query Language (PIQL) that offers information
about the instances related to the PPIs involved. In order to
achieve this objective, a framework has also been developed to
support the enrichment of process instance query expressions
(PIQEs). This framework combines a set of mature technologies
to evaluate the decisions about PPIs at runtime. As an illustration
a real sample has been used whose decisions are improved thanks
to the incorporation of the PPIs at runtime. | es |
dc.description.sponsorship | Ministerio de Ciencia y Tecnología TIN2015-63502-C3-2-R | es |
dc.format | application/pdf | es |
dc.format.extent | 8 | es |
dc.language.iso | eng | es |
dc.publisher | IEEE Computer Society | es |
dc.relation.ispartof | EDOCW 2016: IEEE 20th International Enterprise Distributed Object Computing Workshop (2016), | |
dc.rights | Attribution-NonCommercial-NoDerivatives 4.0 Internacional | * |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | * |
dc.subject | Business processes | es |
dc.subject | Performance Indicators | es |
dc.subject | Decision Model and Notation | es |
dc.subject | Process Instance Query | es |
dc.title | Process Instance Query Language to Include Process Performance Indicators in DMN | 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 | TIN2015-63502-C3-2-R | es |
dc.relation.publisherversion | https://ieeexplore.ieee.org/document/7584381 | es |
dc.identifier.doi | 10.1109/EDOCW.2016.7584381 | es |
dc.eventtitle | EDOCW 2016: IEEE 20th International Enterprise Distributed Object Computing Workshop | es |
dc.eventinstitution | Vienna, Austria | es |
dc.relation.publicationplace | New York, USA | es |
dc.contributor.funder | Ministerio de Ciencia Y Tecnología (MCYT). España | es |