复杂系统tfm的确定方法研究

Z. Yansheng, Huang Kaoli
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引用次数: 0

摘要

复杂系统的可测试性性能指标(tfm)在开发初期受到系统功能、性能、可靠性、可维护性、生命周期成本、环境等因素的影响,难以确定。我们检索了大量与本研究相关的文献,发现只有两个模型可以用来确定tfm。但是每个人都有缺点。第一种方法是基于故障覆盖率,它给出的数值过于完美而不实用;第二种是基于马尔可夫模型,只能给出一个非常粗略的值。因此,我们的目标是建立其他模型来弥补这些缺点。我们尝试建立了三个模型,第一个模型从可用性、可靠性和可维护性三个方面对tfm进行了计算;二是借鉴同类制度的经验;最后一个模型综合了其他四种模型和我们的模型,并通过层次分析法(AHP)给出了更合理的值。
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Research on determining TFOMS of complex system
It is difficult to determine testability figures of merit (TFOMs) of complex system at the early development stage because they are affected by system function, performance, reliability, maintainability, life cycle costing, environment, and so on. We indexed a lot of literatures relevant to this research, and found only two models which can be used to determine the TFOMs. But every one has some shortcomings. The first one is based on fault coverage rate and can give a number value too perfect to unpractical; the second is based on Markov model and can only give a much rough value. So it is our object to build other models which would offset these disadvantages. We try to build three models, and the first calculates TFOMs by availability, reliability and maintainability; the second depends on experience of similar system; the last one synthesizes the other four models from indexed literatures and ours, and presents a more reasonable value by analytical hierarchy process (AHP).
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