dc.creator | Gómez López, María Teresa | es |
dc.date.accessioned | 2022-10-31T12:16:47Z | |
dc.date.available | 2022-10-31T12:16:47Z | |
dc.date.issued | 2016 | |
dc.identifier.citation | Gómez López, M.T. (2016). Validation, Diagnosis and Decision-Making Support of Data in Business Processes. En BPM 2015: 13th International Workshops on Business Process Management (339-351), Innsbruck, Austria: Springer. | |
dc.identifier.isbn | 978-3-319-42886-4 | es |
dc.identifier.issn | 1865-1348 | es |
dc.identifier.uri | https://hdl.handle.net/11441/138523 | |
dc.description.abstract | Business processes involve data that can be modified and
updated by various activities at any time. The data involved in a business
process can be associated with flow elements or stored data. This data
must satisfy the business compliance rules associated with the process,
where business compliance rules are policies or statements that govern
the behaviour of a company. To validate the correctness of a business
process, it is necessary to validate the managed data before and dur ing the process instantiation, since none of the activities of a process can
work correctly using incorrect data. The analysis of the correctness of the
business process is typically related to the activity executed according to
the value of a data variable in each case, that verifies whether the model
and the log conform to each other. The incorporation of the study of
the correctness of the semantic of data value (called Business Data Con straints) is also consider essential. The execution of the correct activity
according to the data is fundamental: it is no less important, however,
to validate the correctness of the input data of a business process, and
whether it affects the workflow and the compliance of the policies. In this
paper, every special characteristic for the analysis of the correctness of
data in a business process is studied, as is how the classic techniques can
be improved for the validation, diagnosis and decision-making support
concerning data in Business Processes. | es |
dc.description.sponsorship | Ministerio de Ciencia y Tecnología TIN2015-63502-C3-2-R | es |
dc.format | application/pdf | es |
dc.format.extent | 13 | es |
dc.language.iso | eng | es |
dc.publisher | Springer | es |
dc.relation.ispartof | BPM 2015: 13th International Workshops on Business Process Management (2016), pp. 339-351. | |
dc.rights | Attribution-NonCommercial-NoDerivatives 4.0 Internacional | * |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | * |
dc.subject | Business data constraints | es |
dc.subject | Data validation | es |
dc.subject | Data diagnosis | es |
dc.subject | Decision-making data support | es |
dc.title | Validation, Diagnosis and Decision-Making Support of Data in 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 | TIN2015-63502-C3-2-R | es |
dc.relation.publisherversion | https://link.springer.com/chapter/10.1007/978-3-319-42887-1_28 | es |
dc.identifier.doi | 10.1007/978-3-319-42887-1_28 | es |
dc.contributor.group | Universidad de Sevilla. TIC-258: Data-centric Computing Research Hub | es |
dc.publication.initialPage | 339 | es |
dc.publication.endPage | 351 | es |
dc.eventtitle | BPM 2015: 13th International Workshops on Business Process Management | es |
dc.eventinstitution | Innsbruck, Austria | es |
dc.relation.publicationplace | Cham, Switzerland | es |
dc.contributor.funder | Ministerio de Ciencia Y Tecnología (MCYT). España | es |