An Empirical Study on the Effectiveness of Monkey Testing for Android Applications

Author:

Paydar SamadORCID

Publisher

Springer Science and Business Media LLC

Subject

Electrical and Electronic Engineering,Computer Networks and Communications,Computer Vision and Pattern Recognition,Energy Engineering and Power Technology,Signal Processing

Reference33 articles.

1. Amalfitano D, Fasolino AR, Tramontana P (2011) A GUI crawling-based technique for Android mobile application testing. In: Fourth IEEE international conference on software testing, verification and validation, ICST 2012, Berlin, Germany, 21–25 March 2011, workshop proceedings, pp 252–261

2. Amalfitano D, Fasolino AR, Tramontana P, Carmine SD, Memon AM (2012) Using GUI ripping for automated testing of Android applications. In: IEEE/ACM international conference on automated software engineering, ASE’12, Essen, Germany, 3–7 September 2012, pp 258–261

3. Ardito L, Coppola R, Morisio M, Torchiano M (2019) Espresso vs. EyeAutomate: an experiment for the comparison of two generations of Android GUI testing. In: Proceedings of the evaluation and assessment on software engineering, EASE 2019, Copenhagen, Denmark, 15–17 April 2019, pp. 13–22

4. Baek YM, Bae D (2016) Automated model-based Android GUI testing using multi-level GUI comparison criteria. In: Proceedings of the 31st IEEE/ACM international conference on automated software engineering, ASE 2016, Singapore, 3–7 September 2016, pp 238–249

5. Canfora G, Sorbo AD, Mercaldo F, Visaggio CA (2016) Exploring mobile user experience through code quality metrics. In: 17th international conference on product-focused software process improvement, PROFES 2016, Trondheim, Norway, 22–24 November 2016, proceedings, pp 705–712

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