摘要
为了解决当前自动化软件测试系统在进行多目标测试时效果差的问题,设计了基于RPA+AI的多目标自动化测试系统。建立多目标软件自动化测试系统的整体框架,并将其划分为服务层和执行层,将代码覆盖率、序列长度、崩溃数量作为优化目标,对多软件测试目标进行优化,通过遗传算法获取最优解集,设计自动化软件测试流程自动输出软件异常信息。测试结果表明:本文设计系统的测试覆盖率达到96%,系统崩溃率低于1%,能够有效地提高系统的可靠性。
In order to solve the problem of poor effect of the current automated software testing system in multi-objective testing,a multi-objective automated testing system based on RPA AI was designed.The overall framework of the multi-objective software automated testing system was established,and it was divided into the service layer and the execution layer,the code coverage,sequence length,and number of crashes were taken as the optimization goals,the multi-software test objectives were optimized,the optimal solution set was obtained through the genetic algorithm,and the automated software testing process was designed to automatically output software exception information.The test results showed that the test coverage rate of the system designed in this paper reached 96%,and the system crash rate was less than 1%,which can effectively improve the reliability of the system.
作者
李晖
辛华
LI Hui;XIN Hua(China Southern Power Grid Digital Grid Research Institute Co.,Ltd.,Guangzhou 510663,China)
出处
《粘接》
2025年第7期144-146,共3页
Adhesion
作者简介
李晖(1983-),男,博士,高级工程师,主要从事企业级信息化系统建设和管理研究,E-mail:whjunfei@163.com。
