Automated testing of android apps: A systematic literature review

P Kong, L Li, J Gao, K Liu… - IEEE Transactions on …, 2018 - ieeexplore.ieee.org
Automated testing of Android apps is essential for app users, app developers, and market
maintainer communities alike. Given the widespread adoption of Android and the …

From security to assurance in the cloud: A survey

CA Ardagna, R Asal, E Damiani, QH Vu - ACM Computing Surveys …, 2015 - dl.acm.org
The cloud computing paradigm has become a mainstream solution for the deployment of
business processes and applications. In the public cloud vision, infrastructure, platform, and …

The art, science, and engineering of fuzzing: A survey

VJM Manès, HS Han, C Han, SK Cha… - IEEE Transactions …, 2019 - ieeexplore.ieee.org
Among the many software testing techniques available today, fuzzing has remained highly
popular due to its conceptual simplicity, its low barrier to deployment, and its vast amount of …

Dynodroid: An input generation system for android apps

A Machiry, R Tahiliani, M Naik - Proceedings of the 2013 9th joint …, 2013 - dl.acm.org
We present a system Dynodroid for generating relevant inputs to unmodified Android apps.
Dynodroid views an app as an event-driven program that interacts with its environment by …

Automated model-based android gui testing using multi-level gui comparison criteria

YM Baek, DH Bae - Proceedings of the 31st IEEE/ACM International …, 2016 - dl.acm.org
Automated Graphical User Interface (GUI) testing is one of the most widely used techniques
to detect faults in mobile applications (apps) and to test functionality and usability. GUI …

Continuous, evolutionary and large-scale: A new perspective for automated mobile app testing

M Linares-Vásquez, K Moran… - 2017 IEEE International …, 2017 - ieeexplore.ieee.org
Mobile app development involves a unique set of challenges including device fragmentation
and rapidly evolving platforms, making testing a difficult task. The design space for a …

Applying machine learning classifiers to dynamic android malware detection at scale

B Amos, H Turner, J White - 2013 9th international wireless …, 2013 - ieeexplore.ieee.org
The widespread adoption and contextually sensitive nature of smartphone devices has
increased concerns over smartphone malware. Machine learning classifiers are a current …

A taxonomy and qualitative comparison of program analysis techniques for security assessment of android software

A Sadeghi, H Bagheri, J Garcia… - IEEE Transactions on …, 2016 - ieeexplore.ieee.org
In parallel with the meteoric rise of mobile software, we are witnessing an alarming
escalation in the number and sophistication of the security threats targeted at mobile …

Reducing combinatorics in GUI testing of android applications

N Mirzaei, J Garcia, H Bagheri, A Sadeghi… - Proceedings of the 38th …, 2016 - dl.acm.org
The rising popularity of Android and the GUI-driven nature of its apps have motivated the
need for applicable automated GUI testing techniques. Although exhaustive testing of all …

Mobile application testing: a tutorial

J Gao, X Bai, WT Tsai, T Uehara - Computer, 2014 - ieeexplore.ieee.org
Mobile Application Testing: A Tutorial Page 1 46 COMPUTER Published by the IEEE
Computer Society 0018-9162/14/$31.00 © 2014 IEEE COVER FEATURE To cope with …