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TERSE: A tool for evaluating software reliability models

机译:简而易说:一种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:目前存在超过40多种估算可靠性模型。因此,从业者面临着选择许多模型中的一个来预测给定软件的行为的问题。在这种情况下,用于比较来自不同模型的可靠性估计的方法或工具肯定可以在选择模型和所选模型给出的估计方面提供置信度。为了基准现有或新模型,我们介绍了一个新的工具(简洁),可以为给定程序生产一组故障数据,并比较现有模型产生的估计。它还可以生成用于给定模型的随机流图。此功能提供了丰富的数据来源,用于调查不同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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