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针对多阶段任务系统(PMS)的测试性需求分析问题,提出了一种基于确定与随机Petri网(DSPN)的系统级测试性需求模型(PMS-DSPN)和指标确定方法.PMS-DSPN模型包括系统网(SN)和阶段网(PhN)两部分,每个SN对应于各个子阶段任务的GSPN测试性需求模型;PhN对应于各个阶段任务间的转换过程,并通过关联矩阵进行描述.基于该模型得到PMS任务成功率计算方法,并结合PMS维修代价、测试性设计代价计算方法,构造了系统级测试性指标优化分析模型,进而确定PMS系统级测试性指标.最后通过实例验证该方法的有效性.
Aiming at the problem of testability analysis of multi-phase task system (PMS), a system-level testability requirement model (PMS-DSPN) and indicator determination method based on deterministic and stochastic Petri nets (DSPN) System network (SN) and phase network (PhN), each SN corresponds to the GSPN testing requirements model of each sub-phase task; PhN corresponds to the conversion process between tasks in each phase and is described by a correlation matrix. Based on this The PMS task success rate calculation method is obtained, and the PMS maintenance cost and test design cost calculation method are combined to construct a system-level testability index optimization analysis model to determine the PMS system-level testability index.Finally, an example is given to verify the effectiveness of the method Sex.