This paper presents results and observations from a survey of 120 industry practitioners in
the field of real-time embedded systems. The survey provides insights into the …

This paper presents results and observations from a survey of 120 industry practitioners in
the field of real-time embedded systems. The survey provides insights into the …

Robotic systems are typically subject to real-time constraints. Still, the ROS ecosystem-the
most popular repository of open-source robotics software-exhibits little evidence of the use …

This paper proposes a systematic three-stage methodology for migrating complex real-time
industrial software systems from single-core to multi-core computing platforms. Single-core …

The software used to implement advanced functionalities in critical domains (eg
autonomous operation) impairs software timing. This is not only due to the complexity of the …

Determining a soft or firm real-time task's probabilistic worst-case response time is a central
goal when quantifying and bounding the probability of deadline misses, but current …

In soft real-time systems, tasks may occasionally miss their deadlines. This possibility has
triggered research on probabilistic timing analysis for the execution time of a single program …

Hyperdimensional Computing (HDC) is introduced as a promising solution for robust and
efficient learning on embedded devices with limited resources. Since HDC often runs in a …

Estimating the worst-case deadline failure probability (WCDFP) of a real-time task is
notoriously difficult, primarily because a task's execution time typically depends on prior …

Autonomous driving faces the difficulty of securing the lowest possible software execution
times to allow a safe and reliable application. One critical variable for autonomous vehicles …