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dc.contributor.authorNogueira, Fernando Aparecido [UNESP]
dc.contributor.authorOliveira, Hilda Carvalho de [UNESP]
dc.contributor.authorIEEE
dc.date.accessioned2019-10-04T15:23:58Z
dc.date.available2019-10-04T15:23:58Z
dc.date.issued2017-01-01
dc.identifier.citation2017 11th Ieee International Conference On Application Of Information And Communication Technologies (aict 2017). New York: Ieee, 5 p., 2017.
dc.identifier.issn2378-8232
dc.identifier.urihttp://hdl.handle.net/11449/186267
dc.description.abstractIt is not unusual that the documentation of business process models is ambiguous, incomplete or non-existent. One reason for this is the lack of a standard for building BPMN models despite the diffusion of good modeling practices. In this direction, this paper presents heuristics sets (business heuristics) to help guide business process modeling teams for improving the textual quality and graphic expressiveness of the models. The documentation level evaluation of each BPMN element is done using a classification scale with four levels. In this paper, the applying evaluation of the heuristics has used a system that automatically extracts information from business process models to compose software documents.en
dc.format.extent5
dc.language.isoeng
dc.publisherIeee
dc.relation.ispartof2017 11th Ieee International Conference On Application Of Information And Communication Technologies (aict 2017)
dc.sourceWeb of Science
dc.subjectbusiness process modeling
dc.subjectquality of business process models
dc.subjectheuristics
dc.subjectbusiness heuristics
dc.subjectBPMN
dc.titleA heuristic-based approach to improve the quality of BPMN business process modelsen
dc.typeTrabalho apresentado em evento
dcterms.licensehttp://www.ieee.org/publications_standards/publications/rights/rights_policies.html
dcterms.rightsHolderIeee
dc.contributor.institutionUniversidade Estadual Paulista (UNESP)
dc.description.affiliationSao Paulo State Univ Unesp, Inst Geosci & Exact Sci, Rio Claro, Brazil
dc.description.affiliationUnespSao Paulo State Univ Unesp, Inst Geosci & Exact Sci, Rio Claro, Brazil
dc.identifier.wosWOS:000467077400105
dc.rights.accessRightsAcesso aberto
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