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dc.rights.licenseCC-BY-NC-ND
dc.contributorDr. ir. J.M.E.M. van der Werf and Prof. dr. ir. A.C. Telea
dc.contributor.advisorWerf, J.M.E.M. van der
dc.contributor.authorJanssen, Brian
dc.date.accessioned2023-05-02T00:01:41Z
dc.date.available2023-05-02T00:01:41Z
dc.date.issued2023
dc.identifier.urihttps://studenttheses.uu.nl/handle/20.500.12932/43843
dc.description.abstractContext knowledge of a system can be not available at all, when it is available its often undocumented and has a low bus factor. In order to recreate such context knowledge, we propose a new visualization technique InteractionCity. This work uses the techniques proposedin Visual Analytics as a basis for the knowledge obtaining process and builds on the work of ArchitectureCity [25].The technique only uses execution data to visualize both the static and dynamic parts of the system. The execution
dc.description.sponsorshipUtrecht University
dc.language.isoEN
dc.subjectContext knowledge of a system can be not available at all, when it is available its often undocumented and has a low bus factor. In order to recreate such context knowledge, we propose a new visualization technique InteractionCity. This work uses the techniques proposedin Visual Analytics as a basis for the knowledge obtaining process and builds on the work of ArchitectureCity [25].The technique only uses execution data to visualize both the static and dynamic parts of the system. The execution
dc.titleInteractionCity: Re-discovering system context knowledgeusing interaction data
dc.type.contentMaster Thesis
dc.rights.accessrightsOpen Access
dc.subject.keywordsProcess mining;Software Architecture;Interactions;Visualization
dc.subject.courseuuGame and Media Technology
dc.thesis.id16215


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