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Multi-Objective Optimization of Energy Consumption of GUIs in Android Apps

Authors:

Mario Linares-Vásquez,

Gabriele Bavota,

Carlos Bernal-Cárdenas,

Massimiliano Di Penta,

Denys PoshyvanykAuthors Info & Claims

ACM Transactions on Software Engineering and Methodology (TOSEM), Volume 27, Issue 3

Article No.: 14, Pages 1 - 47

https://doi.org/10.1145/3241742

Published: 25 September 2018 Publication History

Abstract

The number of mobile devices sold worldwide has exponentially increased in recent years, surpassing that of personal computers in 2011. Such devices daily download and run millions of apps that take advantage of modern hardware features (e.g., multi-core processors, large Organic Light-Emitting Diode—OLED—screens, etc.) to offer exciting user experiences. Clearly, there is a cost to pay in terms of energy consumption and, in particular, of reduced battery life. This has pushed researchers to investigate how to reduce the energy consumption of apps, for example, by optimizing the color palette used in the app’s GUI. Whilst past research in this area aimed at optimizing energy while keeping an acceptable level of contrast, this article proposes an approach, named Gui Energy Multi-objective optiMization for Android apps (GEMMA), for generating color palettes using a multi-objective optimization technique, which produces color solutions optimizing energy consumption and contrast while using consistent colors with respect to the original color palette. The empirical evaluation demonstrates (i) substantial improvements in terms of the three different objectives, (ii) a concrete reduction of the energy consumption as assessed by a hardware power monitor, (iii) the attractiveness of the generated color compositions for apps’ users, and (iv) the suitability of GEMMA to be adopted in industrial contexts.

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Index Terms

Multi-Objective Optimization of Energy Consumption of GUIs in Android Apps
1. Software and its engineering
  1. Software creation and management
    1. Search-based software engineering
  2. Software notations and tools
    1. Software maintenance tools

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cover image ACM Transactions on Software Engineering and Methodology

ACM Transactions on Software Engineering and Methodology Volume 27, Issue 3

July 2018

210 pages

ISSN:1049-331X

EISSN:1557-7392

DOI:10.1145/3276753

Editor:
David S. Rosenblum
National University of Singapore, Singapore

Issue’s Table of Contents

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Publication History

Published: 25 September 2018

Accepted: 01 June 2009

Revised: 01 March 2009

Received: 01 February 2007

Published in TOSEM Volume 27, Issue 3

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