云计算下航母抗干扰过滤软件稳定性测试方法
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摘要
现有的航母抗干扰过滤软件稳定性测试方法存在着测试结果拟合度过低、准确性较差的弊端,为了解决上述问题,引入云计算技术对航母抗干扰过滤软件稳定性测试方法进行设计与研究。根据软件稳定性测试的需求采用采集卡对软件稳定性数据进行采集,主要包括软件操作数据与失效数据,以采集数据为基础,引入G-O非齐次过程构建软件稳定性测试模型,得到最终预测软件失效数量,以此为依据按照设定的软件稳定性测试流程实现了航母抗干扰过滤软件稳定性的测试。通过仿真实验分析得到,与现有的航母抗干扰过滤软件稳定性测试方法相比,提出的航母抗干扰过滤软件稳定性测试方法极大地提升了测试结果的拟合度与准确性,充分说明提出的航母抗干扰过滤软件稳定性测试方法具备更好的测试性能。
In order to solve the problems mentioned above, cloud computing technology is introduced to design and study the stability test method of carrier anti-interference filtering software. According to the requirement of software stability testing, the software stability data are collected by acquisition card, which mainly includes software operation data and failure data. Based on the collected data, the software stability testing model is constructed by introducing G-O non-homogeneous process, and the final number of software failure is predicted. Based on this, the carrier anti-jamming is realized according to the set software stability testing process. Testing the stability of filtering software. The simulation results show that the proposed method greatly improves the fitness and accuracy of the test results compared with the existing methods of carrier anti-interference filtering software stability test, which fully shows that the proposed method of carrier anti-interference filtering software stability test has better test performance.
In order to solve the problems mentioned above, cloud computing technology is introduced to design and study the stability test method of carrier anti-interference filtering software. According to the requirement of software stability testing, the software stability data are collected by acquisition card, which mainly includes software operation data and failure data. Based on the collected data, the software stability testing model is constructed by introducing G-O non-homogeneous process, and the final number of software failure is predicted. Based on this, the carrier anti-jamming is realized according to the set software stability testing process. Testing the stability of filtering software. The simulation results show that the proposed method greatly improves the fitness and accuracy of the test results compared with the existing methods of carrier anti-interference filtering software stability test, which fully shows that the proposed method of carrier anti-interference filtering software stability test has better test performance.
引文
[1]徐小平.云计算环境下的软件测试服务分析[J].电脑与电信,2016,26(3):64-66.
[2]徐赐发.云计算环境下软件测试研究进展[J].无线互联科技,2016,12(5):34-35.
[3]潘宇.浅析云计算环境下的软件测试服务[J].科技与创新,2017(18):52-52.
[4]吴维德,申杰,白泰,等.电力线载波通信抗干扰性能测试研究[J].电测与仪表,2017,54(14):53-56.
[2]徐赐发.云计算环境下软件测试研究进展[J].无线互联科技,2016,12(5):34-35.
[3]潘宇.浅析云计算环境下的软件测试服务[J].科技与创新,2017(18):52-52.
[4]吴维德,申杰,白泰,等.电力线载波通信抗干扰性能测试研究[J].电测与仪表,2017,54(14):53-56.