An Optimal Weighted-Average Voting Algorithm for Software Safety Estimation on Safety-Critical Systems

Abstract

The focus of this work is the analysis and performance evaluation of different weighted-average voting algorithms, such as standard weighted-average, flexible weighted-average and static and dynamic rule-based fuzzy weighted-average voter algorithms. We evaluate the safety performance of six existing voting algorithms and propose a modified dynamic-bandwidth-based fuzzy-voting algorithm with soft-dynamic threshold value. Experimental results show that our novel voting algorithm shows higher safety than the other weighted-average voting algorithms.