To ensure user satisfaction and success of mobile applications, it is important to provide
highly performant applications. This is particularly important for resource-constrained …

This paper introduces a new, fully automated modelbased approach for effective testing of
Android apps. Different from existing model-based approaches that guide testing with a …

The energy consumption of software is an increasing concern as the use of mobile
applications, embedded systems, and data center-based services expands. While research …

We introduce our method and system for face recognition using multiple pose-aware deep
learning models. In our representation, a face image is processed by several pose-specific …

This work develops a static analysis to create a model of the behavior of an Android
application's GUI. We propose the window transition graph (WTG), a model representing the …

There has been tremendous growth in the use of mobile devices over the last few years.
This growth has fueled the development of millions of software applications for these mobile …

Context: Code smells are well-known concepts in Object-Oriented (OO) programs as
symptoms that negatively impact software quality and cause long-term issues. However, the …

Energy is a critical resource for apps that run on mobile devices. Among all operations,
making HTTP requests is one of the most energy consuming. Previous studies have shown …

Android apps demand high-quality test inputs, whose generation remains an open
challenge. Existing techniques fall short on exploring complex app functionalities reachable …

Despite the proliferation of Android testing tools, Google Monkey has remained the de facto
standard for practitioners. The popularity of Google Monkey is largely due to the fact that it is …