Model-based Testing of Mobile Systems – An Empirical Study on QuizUp Android App

Vignir Gudmundsson
(ICE-TCS, School of Computer Science, Reykjavik University)
Mikael Lindvall
(Fraunhofer CESE)
Luca Aceto
(ICE-TCS, School of Computer Science, Reykjavik University)
Johann Bergthorsson
(Plain Vanilla Games)
Dharmalingam Ganesan
(Fraunhofer CESE)

We present an empirical study in which model-based testing (MBT) was applied to a mobile system: the Android client of QuizUp, the largest mobile trivia game in the world. The study shows that traditional MBT approaches based on extended finite-state machines can be used to test a mobile app in an effective and efficient way. Non-trivial defects were detected on a deployed system that has millions of users and was already well tested. The duration of the overall testing effort was of three months, including the construction of the models. Maintaining a single behavioral model for the app was key in order to test it in an efficient way.

In Luca Aceto, Adrian Francalanza and Anna Ingolfsdottir: Proceedings First Workshop on Pre- and Post-Deployment Verification Techniques (PrePost 2016), Reykjavík, Iceland, 4th June 2016, Electronic Proceedings in Theoretical Computer Science 208, pp. 16–30.
Published: 25th May 2016.

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