Marimuthu, C.Chandrasekaran, K.2026-02-062017Proceedings - 2016 IEEE International Conference on Internet of Things; IEEE Green Computing and Communications; IEEE Cyber, Physical, and Social Computing; IEEE Smart Data, iThings-GreenCom-CPSCom-Smart Data 2016, 2017, Vol., , p. 773-776https://doi.org/10.1109/iThings-GreenCom-CPSCom-SmartData.2016.163https://idr.nitk.ac.in/handle/123456789/31857Energy-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. © 2016 IEEE.Energy-awarenessFeature-oriented domain analysisSelf-adaptive software