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General Information
Editor-in-chief
Dr. Lin Huang
Metropolitan State University of Denver, USA
It's my honor to take on the position of editor in chief of IJMLC. We encourage authors to submit papers concerning any branch of machine learning and computing.
IJMLC 2014 Vol. 4(6): 553-558 ISSN: 2010-3700
DOI: 10.7763/IJMLC.2014.V6.472

Functional Validation and Test Automation for Android Apps

Hsiu-Li Liao, Chen-Huei Chou, and Wan-Chun Chao
Abstract—Android open source mobile operating system has been used by major smartphone manufacturing companies. Its market share also exceeded 80% in the third quarter of 2013. Turnkey solution, offed by MediaTek, helps phone makes to build their phones from a phone template. This easy-to-make solution produces a large volume of Android-powered no-brand phones. It is crucial to ensure the compatibility and reliability of apps run on these phones. This study proposes test cases for performing system testing, compatibility testing, and automated stress testing of Android apps. Our experimental results show the validity of the test cases.

Index Terms—Android apps testing, no-brand smartphone, test automation, test case.

Hsiu-Li Liao and Wan-Chun Chao are with the Department of Information Management, School of Business, Chung Yuan Christian University, Chung Li, Taiwan 32023 ROC (e-mail: hsiuliliao@cycu.edu.tw, wsnjing@gmail.com).
Chen-Huei Chou is with the School of Business, College of Charleston, Charleston SC 29464 USA (e-mail: chouc@cofc.edu).

[PDF]

Cite: Hsiu-Li Liao, Chen-Huei Chou, and Wan-Chun Chao, "Functional Validation and Test Automation for Android Apps," International Journal of Machine Learning and Computing vol. 4, no. 6, pp. 553-558, 2014.

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