Malware detection at scale in the Android realm is often carried out using machine learning
techniques. State-of-the-art approaches such as DREBIN and MaMaDroid are reported to …

Fragmentation is a serious problem in the Android ecosystem. This problem is mainly
caused by the fast evolution of the system itself and the various customizations …

The heavy fragmentation of the Android ecosystem has led to severe compatibility issues
with apps, including those that crash at runtime or cannot be installed on certain devices but …

Fragmentation is a serious problem in the Android ecosystem, which is mainly caused by the
fast evolution of the system itself and the various system customizations. Many efforts have …

As a straightforward consequence of advances in the Internet of Things (IoT), location-based
service (LBS) applications have been pervasive in our daily lives. Nevertheless, since those …

With the popularity of Android devices, mobile apps are prevalent in our daily life, making
them a target for attackers to steal private data and push advertisements. Dynamic analysis …

Despite being one of the largest and most popular projects, the official Android framework
has only provided test cases for less than 30% of its APIs. Such a poor test case coverage …

Security of Android devices is now paramount, given their wide adoption among consumers.
As researchers develop tools for statically or dynamically detecting suspicious apps …

Android fragmentation refers to the overwhelming diversity of Android devices and OS
versions. These lead to the impossibility of testing an app on every supported device …

Mobile software engineering has been a hot research topic for decades. Our fellow
researchers have proposed various approaches (with over 7,000 publications for Android …