Evaluation And Optimization Of Performance For The Self-study Exam Online Registration System

In this paper,Based on the performance evaluation technology research, analysis of the present stage of performance test commonly used method, measure and test tools; for self-study examination online registration system design and the operation environment, the design of the testing system performance model, test cases, test scenario, and according to the system test need to edit and optimize the test script; through the test report analysis and research, combined with the system software development and deployment environment put forward the optimization strategy. Experiments show that, after the optimization of the system performance has been greatly promoted, system throughput capacity increased by about30%, and the system performance is good. To sum up, this paper did the work of the following respects:(1) Study the performance test of the theory of knowledge and the related technology, in-depth understanding of and summarizes the performance testing tool for LoadRunner using methods and skills, and lay a solid foundation for the later stages of testing.(2) Through the self-study examination online registration system design, function module and system architecture and other aspects of the introduction and analysis, for system performance testing for the design and optimization of reference.(3) With the relevant theoretical knowledge and combined with the real production environment, puts forward the system the purpose of testing, testing model, test cases, test scenario, then according to the test design of the test system, test and analysis report, positioning system problems and bottlenecks.(4) According to the system performance test results, combined with the system software development and deployment environment, optimized the software and parameter which is need to change, compared the results before and after optimization, as a result, provide a guidance for the future system to Improvement and optimization, finally completed the system performance test, summarizes the full text, show the research direction for the next step.