An Approach for Model Based Testing of Augmented Reality Applications

The popularity of Augmented Reality (AR) applications has strongly been increased with the worldwide success of the Pokemon Go videogame released by Niantic in 2016. However, AR offers tangible benefits in many further areas beyond entertainment, such as advertisement, education, navigation, maintenance, health, and so on. With the growing spread and success of AR applications in these fields, there has also been a growing necessity for approaches and technologies for assuring the quality of these applications, such as testing. A few technologies and frameworks have been recently proposed supporting the implementation and execution of test scripts that can be used to exercise the applications, but there still is a lack of effective techniques and tools for the automatic generation of executable test cases. In this paper, we investigate the possibility of using Model Based Testing techniques to generate executable test scripts from Finite State Machines modeling the behaviour of the GUI of AR applications, similarly to other GUI based applications. We have applied several model coverage criteria to design test suites and we have shown the feasibility of this approach by testing two small example applications involving Unity3D and Vuforia technologies