Automated Refactoring for Energy-Aware Software

Abstract

Executing software consumes energy, usually in the form of electricity. The amount of electricity expended on running software is not trivial. With the growth of mobile computing and much of our electricity being generated from non-renewable sources, a greater focus is being placed on energy consumption habits and how consumption can be reduced. This work aims to explore the ways in which higher-level features of software, e.g. design patterns and code smells, can be refactored to reduce the energy consumed by software during execution. This project will clarify the impact these features have on energy efficiency and direct future research into the development of an automated refactoring tool.