基于改进场景法的新一代LKJ系统测试方案优化

Optimization of Test Scheme for the New Generation LKJ System Based on the Improved Scenario Method

新一代列车运行监控系统功能繁多、应用场景复杂,对其进行仿真测试变得愈发重要。针对目前测试工作中存在的测试场景不够丰富、测试效率低等问题,提出一种测试优化方案。在LKJ相关技术文件和规范的基础上,引入“危险与可操作性分析”中的启发式引导词思想,基于改进场景法对包含待测功能项点的特定场景进行分析与梳理,生成描述正常场景的基本流及覆盖异常场景的备选流,并将其转化为场景图,采用路径搜索算法由自动测试平台生成测试用例。最后,选取4个实际运营中常见的功能项进行测试。测试结果表明:自动测试平台的测试平均耗时较人工测试减少约43%。该方案所生成的测试用例可覆盖更丰富的测试场景,同时可减轻测试工作量,对后续LKJ系统自动测试的发展具有重要的理论支撑和实际应用意义。

The new generation train operation monitoring system is multifunctional and designed for complex scenarios,which underscores the increasing importance of its simulation testing.Addressing challenges such as insufficient test scenarios and low testing efficiency in the new generation LKJ system,this paper proposes an optimized testing scheme.On the basis of LKJ related technical documents and specifications,this paper introduces the heuristic guide idea in“danger and operability analysis”,and analyzes and sorts out specific scenarios containing functional items to be tested based on improved scenario method,generates the basic flow describing the normal scenarios and covering the alternative flow of the abnormal scenarios,and turns it into scenario diagram.The path search algorithm is adopted to test cases generated by the automatic test platform.Ultimately,four common functional items in actual operation were selected for testing.The test results show that the average test time of automatic test platform is reduced by about 43%compared with manual test.The test cases generated by this scheme can cover richer test scenarios,and at the same time reduce the test workload,which has important theoretical and practical application significance for the subsequent development of automatic testing of LKJ system.