Article thumbnail

Automated Testing of Motion-based Events in Mobile Applications

By Sepideh Emam and James Miller

Abstract

Automated test case generation is one of the main challenges in testing mobile applications. This challenge becomes more complicated when the application being tested supports motion-based events. In this paper, we propose a novel, hidden Markov model (HMM)-based approach to automatically generate movement-based gestures in mobile applications. A HMM classifier is used to generate movements, which mimic a user’s behaviour in interacting with the application’s User Interface (UI). We evaluate the proposed technique on three different case studies; the evaluation indicates that the technique not only generates realistic test cases, but also achieves better code coverage when compared to randomly generated test case

Topics: Mobile applications, software testing
Publisher: AIS Electronic Library (AISeL)
Year: 2019
OAI identifier: oai:aisel.aisnet.org:hicss-52-1879
Download PDF:
Sorry, we are unable to provide the full text but you may find it at the following location(s):
  • https://aisel.aisnet.org/hicss... (external link)
  • https://aisel.aisnet.org/cgi/v... (external link)
  • Suggested articles


    To submit an update or takedown request for this paper, please submit an Update/Correction/Removal Request.