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TERSE: A tool for evaluating software reliability models

机译:TERSE:评估软件可靠性模型的工具

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Currently more than forty models for estimating reliability exist. Thus, a practitioner is faced with the problem of selecting one out of many models to predict the behavior of given software. In such a situation, a method or tool to compare the reliability estimates from different models can certainly provide confidence in the selection of models and the estimates given by the selected model. To benchmark existing or new models, we present a new tool (TERSE) which can produce sets of failure data for a given program and compare the estimates produced by existing models. It can also generate random flow graphs for use by a given model. This feature offers a rich source of data for investigating effects of varying model parameters on reliability estimates and allows users to evaluate new models.
机译:当前,存在超过四十个用于估计可靠性的模型。因此,从业者面临从许多模型中选择一种来预测给定软件的行为的问题。在这种情况下,比较来自不同模型的可靠性估计值的方法或工具无疑可以为模型选择和所选模型给出的估计值提供信心。为了对现有模型或新模型进行基准测试,我们提供了一个新工具(TERSE),该工具可以为给定程序生成故障数据集,并比较现有模型产生的估计值。它还可以生成给定模型使用的随机流图。此功能提供了丰富的数据源,可用于调查各种模型参数对可靠性估计的影响,并允许用户评估新模型。

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