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Complexity metrics for business process models

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dc.contributor.authorGruhn, Volker
dc.contributor.authorLaue, Ralf
dc.contributor.editorAbramowicz, Witold
dc.contributor.editorMayr, Heinrich C.
dc.date.accessioned2019-08-12T12:38:18Z
dc.date.available2019-08-12T12:38:18Z
dc.date.issued2006
dc.description.abstractBusiness process models, often modelled using graphical languages like UML, serve as a base for communication between the stakeholders in the software development process. To fulfill this purpose, they should be easy to understand and easy to maintain. For this reason, it is useful to have measures that can give us some information about understandability and maintainability of a business process model. Such measures should tell us whether the model has an appropriate size, is clearly structured, easy to comprehend and partitioned into modules in a sensible way. This paper discusses how existing research results on the complexity of software can be extended in order to analyze the complexity of business process models.en
dc.identifier.isbn2-88579-179-X
dc.identifier.pissn1617-5468
dc.identifier.urihttps://dl.gi.de/handle/20.500.12116/24131
dc.language.isoen
dc.publisherGesellschaft für Informatik e.V.
dc.relation.ispartofBusiness Information Systems – 9th International Conference on Business Information Systems (BIS 2006)
dc.relation.ispartofseriesLecture Notes in Informatics (LNI) - Proceedings, Volume P-85
dc.titleComplexity metrics for business process modelsen
dc.typeText/Conference Paper
gi.citation.endPage12
gi.citation.publisherPlaceBonn
gi.citation.startPage1
gi.conference.dateMay 31-June 2 2006
gi.conference.locationKlagenfurt, Austria
gi.conference.sessiontitleRegular Research Papers

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P085 - Business Information Systems - 9th International Conference 2006