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Automatic Mobile App Speed Measurement with Robot

Soo-Hyun Kim, Hyunsu Mun, Youngseok Lee

Year
2020
Citations
2

Abstract

Mobile app performance measurement is important to improve user experience by optimizing mobile apps. For this purpose, many mobile app testing methodologies. However, most of mobile app testing software depend on operating systems and binary execution files. In this work, we present a robot-based automatic mobile app speed measurement method. Our tool automates speed testing of mobile apps on either Android or Apple iOS. In particular, we employ a robot arm to simulate human behavior to generate user input events such as touch and swipe. For UI automation with a robot arm, we have devised UI automation by random or clickable component detection methods. We have adopted a web speed index to the mobile app to reflect user experience of performance. From experiments with our robot arm and automation software of generating user events and computing speed index, we have classified fast or slow mobile apps under the speed index metric.

Keywords

Computer scienceSwIPeAndroid (operating system)Mobile robotAutomationMobile appsEmbedded systemSoftwareMobile deviceHuman–computer interaction

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