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dc.contributor.authorGuo, Hong
dc.contributor.authorLi, Jingyue
dc.contributor.authorGao, Shang
dc.contributor.authorSmite, Darja
dc.date.accessioned2023-02-20T12:46:10Z
dc.date.available2023-02-20T12:46:10Z
dc.date.created2022-10-27T17:35:56Z
dc.date.issued2022
dc.identifier.citationApplied Sciences. 2022, 12 (19), .en_US
dc.identifier.issn2076-3417
dc.identifier.urihttps://hdl.handle.net/11250/3052369
dc.description.abstractEnterprise Architecture (EA) has been applied widely in industry as it brings substantial benefits to ease communication and improve business-IT alignment. However, due to its high complexity and cost, EA still plays a limited role in many organizations. Existing research recommends realizing more of the EA potential. EA can be developed for specific purposes, accumulated in a digital repository, and reused when needed later. Due to the diversity and inconsistency of the repository, it is challenging to find relevant EA data and reuse it. In the present research, we propose using slicing techniques to extract EA models for reuse. We validate the method with an official EA repository hosted by The Open Group. The result shows that the method could facilitate extracting existing EA model components for developing new EA artifacts to save cost, alleviate maintenance effort, and help keep the repository consistent for future (re)use.en_US
dc.language.isoengen_US
dc.publisherMDPIen_US
dc.rightsNavngivelse 4.0 Internasjonal*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/deed.no*
dc.titleA Method for Enterprise Architecture Model Slicingen_US
dc.title.alternativeA Method for Enterprise Architecture Model Slicingen_US
dc.typePeer revieweden_US
dc.typeJournal articleen_US
dc.description.versionpublishedVersionen_US
dc.source.pagenumber0en_US
dc.source.volume12en_US
dc.source.journalApplied Sciencesen_US
dc.source.issue19en_US
dc.identifier.doi10.3390/app12199604
dc.identifier.cristin2065757
cristin.ispublishedtrue
cristin.fulltextoriginal
cristin.qualitycode1


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