Design and Implementation of Hausdorff Distance Algorithm Automated Test Platform

In view of the limitations of the traditional DFS algorithm in the conception and execution of an automated testing framework, a design and implementation scheme of the automated test platform based on the Hausdorff distance algorithm was proposed. Firstly, the influencing factors is accurately located through the measurement distance theory, and the indicators is reasonably divided to reduce interference, and the design and implementation scheme of the automated test platform is constructed by using the Hausdorff distance algorithm. Experimental results show that the proposed scheme is superior to the traditional DFS algorithm in terms of the design and implementation accuracy of the automated test platform and the processing time of influencing factors under certain evaluation criteria, and has obvious advantages. The conception and execution of an automated testing framework plays an extremely important role in the automated production line platform, which can accurately predict and optimize the growth characteristics and product generation of the automated production line platform. However, the traditional DFS algorithm has certain limitations in solving the simulation problem of the test platform, especially when dealing with complex problems. In this paper, the design and implementation scheme of an automated test platform based on Hausdorff distance algorithm is proposed to better solve this problem. In this scheme, the influencing factors is accurately located through the measurement distance theory, so as to determine the division of indicators, and the Hausdorff distance algorithm is used to construct the scheme. Experimental results show that under certain evaluation criteria, the accuracy and speed of the scheme is significantly improved for different problems, and it has better performance. Therefore, the simulation scheme based on Hausdorff distance algorithm can better solve the limitations of the traditional DFS algorithm and improve the simulation accuracy and efficiency in the conception and execution of an automated testing framework.