Error density metrics for business process model

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dc.authorscopusid35300922400
dc.authorscopusid56962766700
dc.contributor.authorMısra, Sanjay
dc.contributor.authorMisra,S.
dc.contributor.otherComputer Engineering
dc.date.accessioned2024-07-05T15:43:14Z
dc.date.available2024-07-05T15:43:14Z
dc.date.issued2009
dc.departmentAtılım Universityen_US
dc.department-tempTonbul G., Department of Software Engineering, Atilim University, Turkey; Misra S., Department of Information Systems Engineering, Atilim University Kizilcasar Mahallesi, 06836, Incek Golbasi - Ankara, Turkeyen_US
dc.descriptionMiddle East Technical University and IEEE, Turkish Sectionen_US
dc.description.abstractIn this paper, metrics for business process model (BPM), are proposed, which are capable to measure the usability and effectiveness of BPMs. The proposed model is adapting error density metrics to BPMs by considering the similarities between the conceptual characteristics of BPMs and software products. We applied seven software metrics for evaluating quality of business processes/process models. Results show that our metrics help the organization to improve their process, as weighted measurements are indicators for unexpected situations/behaviour for business processes. © 2009 IEEE.en_US
dc.identifier.citation3
dc.identifier.doi10.1109/ISCIS.2009.5291871
dc.identifier.endpage517en_US
dc.identifier.isbn978-142445023-7
dc.identifier.scopus2-s2.0-73949087012
dc.identifier.startpage513en_US
dc.identifier.urihttps://doi.org/10.1109/ISCIS.2009.5291871
dc.identifier.urihttps://hdl.handle.net/20.500.14411/3594
dc.language.isoenen_US
dc.relation.ispartof2009 24th International Symposium on Computer and Information Sciences, ISCIS 2009 -- 2009 24th International Symposium on Computer and Information Sciences, ISCIS 2009 -- 14 September 2009 through 16 September 2009 -- Guzelyurt -- 78549en_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectBusiness process modelen_US
dc.subjectEffectivenessen_US
dc.subjectError density metricen_US
dc.subjectError removal effectiveness metricen_US
dc.subjectError severity metricen_US
dc.subjectSoftware metricsen_US
dc.subjectUsabilityen_US
dc.titleError density metrics for business process modelen_US
dc.typeConference Objecten_US
dspace.entity.typePublication
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