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Nonparametric dynamically weighted combination model to determine when to stop testing
The Journal of Supercomputing ( IF 2.5 ) Pub Date : 2020-01-03 , DOI: 10.1007/s11227-019-03125-9
C. A. S. Deiva Preetha , Subburaj Ramasamy

Software manufacturers need to minimize the number of their software failures in their production environments. So, software reliability becomes a critical factor for these manufacturers to focus on. Software Reliability Growth Models (SRGMs) are used as indicators of the number of failures that may be faced after the shipping of the software and thus are indicators of the readiness of the software for shipping. SRGMs to handle varying operational profiles have been proposed by researchers earlier. However, as it is difficult to predict the nature of the project in advance, the reliability engineer has to try out each model one at a time before zeroing in on the model to be used in the project. We have derived a combination model, called dynamically weighted infinite NHPP combination, using the existing models for determining the release time. The nonparametric dynamically weighted combination model that we propose was validated and was found to be effective.

中文翻译:

确定何时停止测试的非参数动态加权组合模型

软件制造商需要最大限度地减少其生产环境中的软件故障数量。因此,软件可靠性成为这些制造商关注的关键因素。软件可靠性增长模型 (SRGM) 用作软件交付后可能面临的故障数量的指标,因此是软件交付准备就绪的指标。研究人员早些时候已经提出了用于处理不同操作配置文件的 SRGM。但是,由于很难提前预测项目的性质,可靠性工程师必须一次尝试每个模型,然后再确定要在项目中使用的模型。我们导出了一个组合模型,称为动态加权无限 NHPP 组合,使用现有模型来确定发布时间。
更新日期:2020-01-03
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