基于Python的武器装备数字化测试工艺设计

测试作为武器生产中最重要的环节,是一个比较复杂和多工序的过程。为提高武器装备的测试效率,文中分析现代武器装备生产对数字化测试工艺的需求,并提出一种面向测试指标的基于Python编程语言的数字化测试工艺设计方案。该方案能够驱动测试系统从而实现数字化测试,目前已成功应用到接收机、功放等多个模块中。应用结果表明,所设计的数字化测试工艺具有代码简洁、层次清晰、通用性强、扩展性好等优点,可广泛应用。

基于人工免疫算法的高效回归测试用例集约简机制

为了在海量回归测试用例中剔除冗余测试用例,优化回归测试的效率,提出一种基于人工免疫算法的高效回归测试用例集约简机制.首先,构建测试需求覆盖模型,其次,通过适应度函数刻画测试用例集的测试总开销,利用人工免疫算法强大的全局搜索能力约简回归测试用例集.基于真实工程代码构建实验验证了所提机制的有效性,实验结果表明:同现有基于遗传算法的机制相比,在不同的迭代阈值下,平均约简成功率分别从10%,35%和80%提升至100%,同时平均冗余覆盖比率从98%,95%和109%降低到21%,55%和90%,测试用例集约简效果明显;在约简效率方面,所提机制平均迭代次数均小于25次,而对比方案的迭代次数均大于50次,用例约简效率大幅提升.

Testing agile requirements models

This paper discusses a model-based approach to validate software requirements in agile development processes by simulation and in particular automated testing. The use of models as central development artifact needs to be added to the portfolio of software engineering techniques, to further increase efficiency and flexibility of the development beginning already early in the requirements definition phase. Testing requirements are some of the most important techniques to give feedback and to increase the quality of the result. Therefore testing of artifacts should be introduced as early as possible, even in the requirements definition phase.