Optimization And Refactoring Of Logistics Software Automated Test Case Management And Execution Scheduling

Under the background that the current logistics software is constantly updated and iterative,and gradually becomes large-scale,the requirements of major logistics companies for software testing are becoming more and more stringent,and the scale of logistics software testing is also increasing,which requires better logistics software testing solutions.plan.In the largescale logistics software testing scenario,the automated test case management and execution scheduling of logistics software test cases are the top priorities.Aiming at the common problems in automated test case management and execution scheduling of logistics software testing,this paper optimizes and reconstructs the automated test case management and execution scheduling system of the logistics software automated test platform,improving the stability and maintainability of the platform,and enable the platform to enable more efficient logistics software testing.This paper selects the ATF cloud test platform in the logistics software automation test platform as the research object,analyzes the current situation of the ATF cloud test platform,and summarizes the shortcomings of the automated test case management and execution scheduling system of the ATF cloud test platform.The thought guides the design and function realization of the refactored new system.In this paper,the automatic test case management and execution scheduling system of ATF cloud test platform is comprehensively reconstructed,the original test case management function is optimized,the operation process is simplified and the use efficiency is improved;The distributed executor cluster is constructed by using etcd component,and the real-time status monitoring of executors is realized;Diversified execution strategies are added to adapt to different logistics software testing businesses;On the basis of real-time monitoring the state of the execution machine,test case selection and load balancing scheduling based on ant colony algorithm are added,so as to realize the automatic distribution and execution of test cases;A variety of test result feedback are designed to improve the efficiency of logistics software testers to view and track problems.Finally,this paper conducts multiple rounds of system tests on the refactored new automated test case management and execution scheduling system,which verifies the reliability and correctness of its operation.At the same time,the effect is verified by the actual test of the e-commerce platform,and it is verified that the new automated test case management and execution scheduling system can make the ATF cloud test platform test more efficient,easier to operate,and more stable and maintainable.Well,it can play a better role in large-scale logistics software testing.