Feature models for big data applications: Modeling big data applications by applying feature models
dc.creator | Zozas I., Bibi S., Katsaros D., Bozanis P., Stamelos I. | en |
dc.date.accessioned | 2023-01-31T11:38:53Z | |
dc.date.available | 2023-01-31T11:38:53Z | |
dc.date.issued | 2018 | |
dc.identifier | 10.1109/IISA.2017.8316394 | |
dc.identifier.isbn | 9781538637319 | |
dc.identifier.uri | http://hdl.handle.net/11615/81045 | |
dc.description.abstract | Modeling 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.iso | en | en |
dc.source | 2017 8th International Conference on Information, Intelligence, Systems and Applications, IISA 2017 | en |
dc.source.uri | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85047927969&doi=10.1109%2fIISA.2017.8316394&partnerID=40&md5=f4e4588fdfb05c3a2cca75f614e609be | |
dc.subject | Economic and social effects | en |
dc.subject | Software design | en |
dc.subject | Software engineering | en |
dc.subject | Big data applications | en |
dc.subject | Data-intensive application | en |
dc.subject | Design approaches | en |
dc.subject | Feature models | en |
dc.subject | Model-driven Engineering | en |
dc.subject | Requirements techniques | en |
dc.subject | Research topics | en |
dc.subject | Trade off | en |
dc.subject | Big data | en |
dc.subject | Institute of Electrical and Electronics Engineers Inc. | en |
dc.title | Feature models for big data applications: Modeling big data applications by applying feature models | en |
dc.type | conferenceItem | en |
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