In this work, a solution that can be applied to the RTSS 2022’s Industry Challenge is proposed. It relies on a real-time system model and a set of schedulability analysis and optimization tools, enabling the design of safety-critical applications compliant with timing requirements. The presented toolchain is enhanced with a novel task allocation technique, which leverages sensitivity analysis and that can be applied to heterogeneous systems, to provide promising solutions that improve state-of-the-art algorithms’ performance.This work was supported in part by MCIN/ AEI /10.13039/501100011033/ FEDER “Una manera de hacer Europa” under grant PID2021-124502OB-C42 (PRESECREL)
