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Qualitative Comparison of Enterprise Architecture Model Maintenance Processes

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dc.contributor.authorHacks, Simon
dc.contributor.authorLichter, Horst
dc.contributor.editorMayr, Heinrich C.
dc.contributor.editorRinderle-Ma, Stefanie
dc.contributor.editorStrecker, Stefan
dc.date.accessioned2020-05-14T07:16:18Z
dc.date.available2020-05-14T07:16:18Z
dc.date.issued2020
dc.description.abstractEnterprise Architecture (EA) is no end in itself but has to provide central, important, and up-to-date information of the organization to its clients. So far, different researchers have elaborated on processes to ensure a (semi-)automated EA model maintenance. For practitioners this raises the question how the processes can be compared to each other. To answer this question, we identified a set of five quality criteria and asked EA researcher and practitioners to rate those for three processes.en
dc.identifier.isbn978-3-88579-698-5
dc.identifier.pissn1617-5468
dc.identifier.urihttps://dl.gi.de/handle/20.500.12116/33143
dc.language.isoen
dc.publisherGesellschaft für Informatik e.V.
dc.relation.ispartof40 Years EMISA 2019
dc.relation.ispartofseriesLecture Notes in Informatics (LNI) - Proceedings, Volume P-304
dc.subjectEA Model Maintenance
dc.subjectComparative Study
dc.subjectQuality Assessment
dc.subjectQuantitative Study
dc.titleQualitative Comparison of Enterprise Architecture Model Maintenance Processesen
dc.typeText/Conference Paper
gi.citation.endPage118
gi.citation.publisherPlaceBonn
gi.citation.startPage105
gi.conference.date15.-17. May, 2019
gi.conference.locationTutzing, Germany
gi.conference.sessiontitleRegular Research Papers

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P304 - 40 Years EMISA 2019