GEMMA: Multi-objective Optimization of Energy Consumption of GUIs in Android Apps

被引：9

作者：

Linares-Vasquez, Mario ^{[1
]}

Bernal-Cardenas, Carlos ^{[2
]}

Bavota, Gabriele ^{[3
]}

Oliveto, Rocco ^{[4
]}

Di Penta, Massimiliano ^{[5
]}

Poshyvanyk, Denys ^{[2
]}

机构：

[1] Univ Los Andes, Bogota, Colombia

[2] Coll William & Mary, Williamsburg, VA USA

[3] Univ Svizzera Italiana, Lugano, Switzerland

[4] Univ Molise, Pesche, IS, Italy

[5] Univ Sannio, Benevento, Italy

来源：

PROCEEDINGS OF THE 2017 IEEE/ACM 39TH INTERNATIONAL CONFERENCE ON SOFTWARE ENGINEERING COMPANION (ICSE-C 2017) | 2017年

关键词：

SMARTPHONE APPLICATIONS;

D O I：

10.1109/ICSE-C.2017.10

中图分类号：

TP31 [计算机软件];

学科分类号：

081202 ; 0835 ;

摘要：

This tool demonstration describes GEMMA, a tool aimed at optimizing the colors used by Android apps, with the goal of reducing the energy consumption on (AM) OLED displays while keeping the user interface visually attractive for end-users. GEMMA has been developed as a distributed architecture to ensure scalability. It is composed of a Web-based client and processing nodes that are capable of analyzing multiple requests (apps) concurrently. The underlying approach makes use of power models, color theory, and multi-objective genetic algorithms. The empirical evaluation of GEMMA indicated its ability to reduce energy consumption while producing color combinations pleasant enough for the users. Also, a qualitative analysis conducted with app developers highlighted the potential applicability of the tool in an industrial context. VIDEO: https://www.youtube.com/watch?v=k-5ReMVwK0c

引用

页码：11 / 14

页数：4

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