Testing

Context

Android applications often process sensitive data such as location, contacts, and authentication tokens. Ensuring that this information is not leaked or misused is a central challenge in mobile app security.

Taint analysis is a static or dynamic program analysis technique that tracks the flow of sensitive data (“tainted sources”) through a program to determine whether it reaches untrusted components (“sinks”). Several tools exist to perform taint analysis on Android applications, including FlowDroid, Mariana Trench, and Joern. Each has different capabilities, rule definitions, and performance characteristics.

Context

Autonomous vehicles (AVs) are complex cyberphysical systems that require extensive testing to ensure safety. Since field testing is costly and unsafe, simulation-based testing using platforms like CARLA and BeamNG.tech has become a cornerstone in AV software validation. These simulators rely heavily on GPU performance for rendering, physics, and sensor emulation, and are therefore both resource-intensive and energy-demanding. As the scale of simulation campaigns grows (thousands of tests per day in CI pipelines), understanding and optimizing GPU cost becomes critical for cost-effective and sustainable testing.