Feature Models for Big Data Applications Modeling Big Data Applications by applying Feature Models

被引：0

作者：

Zozas, Ioannis ^{[1
]}

Bibi, Stamatia ^{[1
]}

Katsaros, Dimitrios ^{[2
]}

Bozanis, Panagiotis ^{[2
]}

Stamelos, Ioannis ^{[3
]}

机构：

[1] Univ Western Macedonia, Dept Informat & Telecommun, Kozani, Greece

[2] Univ Thessaly, Dept Elect & Comp Engn, Volos, Greece

[3] Aristotle Univ Thessaloniki, Dept Informat, Thessaloniki, Greece

来源：

2017 8TH INTERNATIONAL CONFERENCE ON INFORMATION, INTELLIGENCE, SYSTEMS & APPLICATIONS (IISA) | 2017年

关键词：

big data; feature models; software engineering; model driven engineering;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

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.

引用

页码：590 / 595

页数：6

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