一种基于参数评估的软件可靠性预测新方法:航天飞机应用

N. Schneidewind
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引用次数: 1

摘要

软件可靠性测量和预测是在模型应用前对模型参数进行评估的方法。测量包括收集和分析关于观察到的软件可靠性的数据,从这些数据中估计参数,例如,测试期间故障的发生。预测是使用一个模型来预测未来软件的可靠性,例如,在操作过程中下一次故障发生的时间。为了演示预测方法,我们必须使用软件可靠性模型。由于Schneidewind模型已被用于NASA航天飞机飞行软件的可靠性预测,我们有相当数量的航天飞机故障数据,我们使用模型和数据来演示我们的方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A New Way to Predict Software Reliability with Parameter Evaluation: Shuttle Applications
Software reliability measurement and prediction are used to evaluate model parameters in advance of applying a model. Measurement involves collecting and analyzing data about the observed reliability of software, from which the parameters are estimated, for example, the occurrence of failures during test. Prediction is using a model to forecast future software reliability, for example, time to next failure during operation. In order to demonstrate the prediction methodology, we must use a software reliability model. Since the Schneidewind model has been used on the NASA Shuttle flight software for reliability predictions, and we have a considerable amount of Shuttle failure data, we use the model and data to demonstrate our methodology.
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