On the influence of compiler optimizations in the fault tolerance of embedded systems

This paper proposes a method for tuning compilations to improve the size, execution time and reliability of the final application altogether. Our approach implements a genetic strategy with a multi-objective evolution that takes advantage of the NSGA-II algorithm for selecting the best compilations. Experiments show that reliability can be improved by efficiently exploring the compiler optimization options. As a consequence, our method enhances the application fault coverage from 3% to 6% and gets increments of MWTF from 15% to 45%.