Improving Energy Efficiency Through Automatic Refactoring

• Type: Article in International Scientific Journal
• Date: 2019

Authors

Cruz, L (Author) Other; Rui Abreu (Author) Other

Journal

Title: Knowledge Discovery from Sensor Data

Vol. abs/1910.08768

Final page: 2

ISSN: 1550-4786

Publisher: IEEE

Other information

Authenticus ID: P-00S-W3K

DOI: 10.5753/jserd.2019.17

Abstract (EN): <jats:p>The ever-growing popularity of mobile phones has brought additional challenges to the software development lifecycle. Mobile applications ought to provide the same set of features as conventional software, with limited resources: such as limited processing capabilities, storage, screen and, not less important, power source. Although energy efficiency is a valuable requirement, developers often lack knowledge of best practices. In this paper, we propose a tool to improve the energy efficiency of Android applications using automatic refactoring ¿ Leafactor. The tool features five energy code smells that tend to go unnoticed. In addition, we study whether automatic refactoring can aid developers to ship energy efficient mobile applications with a dataset of 140 free and open source apps. As a result, we detect and fix code smells in 45 Android apps, from which 40% have successfully merged our changes into the official repository.</jats:p>

Language: English

Type (Professor's evaluation): Scientific