复杂软件确保质量提高效率快速测试仿真研究

发布时间：2018-05-08 10:41

本文选题：复杂软件 + 测试流程　；参考：《计算机仿真》2017年11期

【摘要】：对复杂软件的高效测试的研究,可有效的确保复杂软件的质量,加快测试速度。复杂软件的快速测试,需要先确定复杂软件测试各环节任务分配矩阵和目标函数的设置,得出复杂软件确保质量任务优先级,完成对复杂软件的高效测试。传统方法进行测试目标函数构件,实现优化测试模型改进,但忽略了复杂软件确保质量任务优先级的确定,导致软件测试效率偏低。提出基于改进蚁群算法的复杂软件确保质量高效测试模型。上述模型首先对复杂软件测试各环节任务进行形式化描述,采用改进蚁群算法对复杂软件确保质量高效测试模型进行求解,获得任务测试序列和对应的测试资源利用率,完成各环节任务分配矩阵和目标函数的设置,确定复杂软件确保质量任务优先级。实验结果表明,所提模型能够有效提高复杂软件测试工作的效率,且在测试任务延迟时间、测试任务公平性方面性能更好。
[Abstract]:The research on high efficiency testing of complex software can effectively ensure the quality of complex software and speed up the test. In the rapid testing of complex software, it is necessary to determine the task assignment matrix and objective function of each link of complex software testing, and obtain the quality task priority of complex software, and complete the efficient testing of complex software. The traditional method is used to test the component of the objective function to improve the test model, but it ignores the determination of the priority of the complex software to ensure the quality of the task, which leads to the low efficiency of software testing. An efficient test model of complex software based on improved ant colony algorithm is proposed. The above models first formalize the tasks of complex software testing, and use improved ant colony algorithm to solve the complex software quality and efficient test model, and obtain the task test sequence and the corresponding test resource utilization ratio. The task assignment matrix and objective function of each link are set up, and the quality task priority of complex software is determined. The experimental results show that the proposed model can effectively improve the efficiency of complex software testing, and the performance of the proposed model is better in terms of test task delay time and test task fairness.
【作者单位】：华东计算技术研究所;
【分类号】：TP311.53

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