Paper Info
Title
Feature-Oriented Domain Analysis Framework for Energy-Aware Self-Adaptive Software.
Abstract
Energy-aware software is self-adaptive in nature which dynamically changes its behaviour to save energy. Context information plays a major role in developing such self-adaptive and energy-aware software. Any changes in context information may exhibit different number of operating conditions at run-time. The software should be efficiently developed to be more energy-efficient under different operating conditions through well defined dynamic adaptation policies. Developing such energy-aware adaptive behavior is a challenging task with current programming methods. We employed feature-oriented software development (FOSD) for developing such energy-aware self-adaptive software. In this paper, as first step, domain analysis framework for energy-aware self-adaptive software is proposed. The proposed framework uses feature models to explicitly specify the energy-aware features and context information. An illustrative example is presented to show the usefulness of the proposed domain analysis framework.
Year
Venue
Field
2016
iThings/GreenCom/CPSCom/SmartData
Domain analysis,Domain engineering,Feature-oriented domain analysis,Computer science,Real-time computing,Component-based software engineering,Software construction,Software development,Software framework,Software sizing,Distributed computing
DocType
Citations 
PageRank 
Conference
0
0.34
References 
Authors
0
2
Name
Order
Citations
PageRank
C. Marimuthu100.68
K. Chandrasekaran212.12