Please use this identifier to cite or link to this item:
Automated Testing of Motion-based Events in Mobile Applications
|Title:||Automated Testing of Motion-based Events in Mobile Applications|
|Keywords:||Software Development for Mobile Devices, Wearables, and the Internet-of-Things|
Mobile applications, software testing
|Date Issued:||08 Jan 2019|
|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 cases.
|Rights:||Attribution-NonCommercial-NoDerivatives 4.0 International|
|Appears in Collections:||
Software Development for Mobile Devices, Wearables, and the Internet-of-Things|
Please email email@example.com if you need this content in ADA-compliant format.
This item is licensed under a Creative Commons License