Feature models for big data applications: Modeling big data applications by applying feature models

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.