Software-intensive systems in most domains, from autonomous vehicles to health, are
becoming predominantly parallel to efficiently manage large amount of data in short (even …

Model Based System Engineering (MBSE) has shown promising results for early design
verification of embedded systems. It requires to specify system properties/constraints at …

The demands of system complexity and design productivity for embedded systems can be
managed by simplifying and reusing the design. Furthermore, these systems should be …

Abstract Design space exploration (DSE) aims at searching through various models
representing different design candidates to support activities like configuration design of …

Design space exploration (DSE) aims to find optimal design candidates of a domain with
respect to different objectives where design candidates are constrained by complex …

Water plays a crucial role in the agricultural field for food production and raising livestock.
Given the current trends in world population growth, the urgent food demand that must be …

The improved productivity and reduced time-to-market are essential requirements for the
development of modern embedded systems and, therefore, the comprehensive as well as …

Abstract Model Based System Engineering (MBSE) is a renowned approach in the context of
embedded systems development. It is frequently used to deal with the structural and …

Computational notebooks like the Jupyter programming environment have been popular,
particularly for developing data-driven applications. One of its main benefits is that it easily …

Optimization for power is one of the most important design objectives in modern digital
signal processing (DSP) applications. The digital finite duration impulse response (FIR) filter …