Metadata Action Network Model for Cloud Based Development Environment

dc.contributor.authorAydın, Mehmet Nafiz
dc.contributor.authorPerdahçı, Ziya Nazım
dc.contributor.authorŞafak, İlker
dc.contributor.authorvan Hillegersberg, Jos
dc.date.accessioned2020-12-24T10:13:52Z
dc.date.available2020-12-24T10:13:52Z
dc.date.issued2020
dc.departmentFakülteler, İşletme Fakültesi, Yönetim Bilişim Sistemleri Bölümüen_US
dc.description.abstractCloud-based software development solutions (entitled as Platform-as-a-Service, Low-Code platforms) have been promoted as a game changing paradigm backed by model-driven architecture and supported by various cloud-based services. With the engagement of a sheer number of platform users (experienced, novel, or citizen developers) these platforms generate invaluable data and that can be considered as user metadata actions. As cloud-based development solutions provide novice users with a new development experience (performing data actions that altogether leads to a successful software app), users often times face with uncertainty about development performance; how good or complete is app development? Thus, the issue addressed in this research is how to measure user performance by using digital trace data generated on the cloud platform from a Network Science perspective. This research proposes a novel approach to leveraging digital trace data on Platform-as-a-Service (PaaS) from a Network Science perspective. The proposed approach considers the importance of digital trace data as metadata actions on PaaS and introduces a network model (so-called Metadata Action Network), which is claimed to be the result of reconstruction of events of developer’s actions. We show suitability of the proposed approach to better understanding of real-world digital trace data on PaaS solution and elaborate basic performance analytics on a PaaS solution with research and practical implications.en_US
dc.identifier.citation1
dc.identifier.doi10.1007/978-3-030-45697-9_52en_US
dc.identifier.endpage543en_US
dc.identifier.isbn978-303045696-2
dc.identifier.issn2194-5357en_US
dc.identifier.issn2194-5357
dc.identifier.scopus2-s2.0-85085503357en_US
dc.identifier.scopusqualityN/A
dc.identifier.startpage531en_US
dc.identifier.urihttps://hdl.handle.net/20.500.12469/3644
dc.identifier.urihttps://doi.org/10.1007/978-3-030-45697-9_52
dc.identifier.volume1161 AISCen_US
dc.identifier.wosqualityN/A
dc.institutionauthorAydın, Mehmet Nafizen_US
dc.institutionauthorŞafak, İlkeren_US
dc.language.isoenen_US
dc.publisherSpringeren_US
dc.relation.journalAdvances in Intelligent Systems and Computingen_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectAnalyticsen_US
dc.subjectCloud computingen_US
dc.subjectDevelopment performanceen_US
dc.subjectDigital trace dataen_US
dc.subjectNetwork scienceen_US
dc.subjectPaaSen_US
dc.titleMetadata Action Network Model for Cloud Based Development Environmenten_US
dc.typeConference Objecten_US
dspace.entity.typePublication
relation.isAuthorOfPublicationa66a9279-fa0c-4915-816f-40c93cee4747
relation.isAuthorOfPublication.latestForDiscoverya66a9279-fa0c-4915-816f-40c93cee4747

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