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A METHOD OF RELIABILITY ASSESSMENT BASED ON BAYESIAN NETWORK FOR AN EMBEDDED OPEN SOURCE SOFTWARE

机译:一种基于贝叶斯网络的嵌入式开源软件的可靠性评估方法

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The current, software development environment has been changing into new development paradigms such as concurrent distributed development environment and the so-called open source project by using network computing technologies. New distributed development paradigm typified by such open source project will evolve at a rapid pace in the future. Especially, OSS (Open Source Software) systems which serve as key components of critical infrastructures in the society are still ever-expanding now. We focus on OSS developed under open source project. In this paper, in order to consider the effect of each software component on the reliability of an entire system under such open source software, we propose a method of reliability assessment based on the bayesian network for OSS. Especially, we assume that the software failure intensity depends on the time, and the software fault-report phenomena on the bug tracking system keep an irregular state. Also, we analyze actual software fault count data to show numerical examples of software reliability assessment for the OSS.
机译:目前,软件开发环境一直在改变为新的开发范例,如并发分布式开发环境和通过网络计算技术的所谓开源项目。新的分布式开发范式由此类开源项目的典型速率将以快速的节奏在未来发展。特别是,作为社会中关键基础设施关键组成的OSS(开源软件)系统现在仍然是艰巨的。我们专注于在开源项目下开发的OSS。在本文中,为了在这种开源软件下考虑每个软件组件对整个系统的可靠性的影响,我们提出了一种基于贝叶斯网络的可靠性评估方法。特别是,我们假设软件故障强度取决于时间的时间,错误跟踪系统上的软件故障报告现象保持不规则状态。此外,我们分析了实际的软件故障计数数据,以显示OSS的软件可靠性评估的数值例子。

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