Εμφάνιση απλής εγγραφής

dc.creatorZozas I., Bibi S., Katsaros D., Bozanis P., Stamelos I.en
dc.date.accessioned2023-01-31T11:38:53Z
dc.date.available2023-01-31T11:38:53Z
dc.date.issued2018
dc.identifier10.1109/IISA.2017.8316394
dc.identifier.isbn9781538637319
dc.identifier.urihttp://hdl.handle.net/11615/81045
dc.description.abstractModeling Big Data Applications is a key research topic for designing, analyzing, programming and deploying data-intensive applications, with high value and long-term trade-offs. The need for unified perspectives, architectures and requirements techniques is requisite. The current approach proposes the use of Feature Models to fill this gap by extending present model-driven engineering practices with utter purpose to define a reusable, extensible and highly configurable design approach for Big Data Applications. © 2017 IEEE.en
dc.language.isoenen
dc.source2017 8th International Conference on Information, Intelligence, Systems and Applications, IISA 2017en
dc.source.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85047927969&doi=10.1109%2fIISA.2017.8316394&partnerID=40&md5=f4e4588fdfb05c3a2cca75f614e609be
dc.subjectEconomic and social effectsen
dc.subjectSoftware designen
dc.subjectSoftware engineeringen
dc.subjectBig data applicationsen
dc.subjectData-intensive applicationen
dc.subjectDesign approachesen
dc.subjectFeature modelsen
dc.subjectModel-driven Engineeringen
dc.subjectRequirements techniquesen
dc.subjectResearch topicsen
dc.subjectTrade offen
dc.subjectBig dataen
dc.subjectInstitute of Electrical and Electronics Engineers Inc.en
dc.titleFeature models for big data applications: Modeling big data applications by applying feature modelsen
dc.typeconferenceItemen


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