The Quantitative Analysis of Equipment Operational Test Credibility Based on Dynamic Programming and 0-1 Integer Linear Programming

Abstract

This paper takes the operational test credibility as the analysis object, designs multi-stage test patterns through quantitative decision analysis, thus maximizes the system test credibility. A dynamic programming based model for the credibility of equipment operational test is established. In addition, a method based on the 0-1 integer linear programming is also used and transformed to fit for the minimum path problem. The experimental results indicate that the methods proposed by this paper are effective and advanced.