Automated Adaptive Test for Android Apps on Diversified Touchscreen Devices

• Main Authors: Li, Shan-Hsin, 李善新
• Other Authors: 謝續平
• Format: Others
• Language: en_US
• Published: 2014
• Online Access: http://ndltd.ncl.edu.tw/handle/56309225282064318677

碩士 === 國立交通大學 === 資訊科學與工程研究所 === 102 === Android, which is compatible to various models, mainly takes user input from touchscreen, and even the screens are distinct among each other. Due to the screen diversity, to imitate user gestures for software testing becomes difficult and unfeasible to reuse a test script, which records fixed coordinates of touch events, among various devices. Test engineers need to write a specific test script for each kind of devices. Conventional approaches can only scale up/down the coordinate when the tested screen resolution is different; this approach is only feasible when the screens have the same aspect ratio. To address this problem, an adaptive test for Android is proposed, and it is based on a new gesture representation, the Visual-Oriented Gesture (VOG). The adaptive test imitates user interaction in the following order: looking screen, finding the GUI component, and doing action on it. VOG can dynamically adjust the coordinates of touch events, and therefore the test achieved the “Write-once-run-anywhere” (WORA) property; it can reduce the time cost of development. Over twenty apps from Google Play have been evaluated in this paper, and each app has been tested by around 4 kinds of gestures on 4 different screen resolution models. The percentage of successfully imitating is 84.4 from over 300 test cases. The result of this experiment is satisfiable. We show the proposed adaptive test can imitate most user gesture on apps across various screen resolutions and Android versions, so it is helpful to development on Android.