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Utilizing clone detection for domain analysis of simulation systems

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dc.contributor.authorAstekin, M.
dc.contributor.authorSözer, Hasan
dc.contributor.departmentComputer Science
dc.contributor.ozuauthorSÖZER, Hasan
dc.date.accessioned2016-02-15T09:33:29Z
dc.date.available2016-02-15T09:33:29Z
dc.date.issued2012
dc.descriptionDue to copyright restrictions, the access to the full text of this article is only available via subscription.
dc.description.abstractThis paper presents a case study on utilizing a clone detection technique for deriving commonalities among four different industrial simulation software systems. We have examined cloning both within each system and across the four systems. We have showed that several commonalities can be identified with the help of clone detection. The analysis results can support domain analysis, identification of reusable components and the design of a reference architecture.
dc.description.sponsorshipTÜBİTAK BİLGEM
dc.identifier.doi10.1109/WICSA-ECSA.212.47
dc.identifier.endpage291
dc.identifier.isbn978-1-4673-2809-8
dc.identifier.scopus2-s2.0-84870701206
dc.identifier.startpage287
dc.identifier.urihttp://hdl.handle.net/10679/2254
dc.identifier.urihttps://doi.org/10.1109/WICSA-ECSA.212.47
dc.language.isoengen_US
dc.peerreviewedyes
dc.publicationstatuspublisheden_US
dc.publisherIEEE
dc.relation.ispartofSoftware Architecture (WICSA) and European Conference on Software Architecture (ECSA), 2012 Joint Working IEEE/IFIP Conference on
dc.relation.publicationcategoryInternational
dc.rightsinfo:eu-repo/semantics/restrictedAccess
dc.subject.keywordsCase study
dc.subject.keywordsClone detection
dc.subject.keywordsDomain analysis
dc.subject.keywordsSimulation systems
dc.subject.keywordsReference architecture
dc.subject.keywordsSoftware product lines
dc.titleUtilizing clone detection for domain analysis of simulation systemsen_US
dc.typeConference paperen_US
dspace.entity.typePublication
relation.isOrgUnitOfPublication85662e71-2a61-492a-b407-df4d38ab90d7
relation.isOrgUnitOfPublication.latestForDiscovery85662e71-2a61-492a-b407-df4d38ab90d7

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