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STOCHASTIC DIFFERENTIAL EQUATION MODELING BASED ON COMPONENT IMPORTANCE LEVELS AND OPTIMAL VERSION-UPGRADE PROBLEM FOR OSS

机译:基于组件重要性级别和OSS的最优版升级问题的随机微分方程建模

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The current software development environment has been changing into new development, paradigms such as concurrent distributed development environment and so-called open source project by using network computing technologies. OSS (Open Source Software) which developed using by network environment is widely adopted as a embedded system and server usage because anyone can join the development. The source code is opened, and everyone can freely modify. On the other hand, the problem on the support less and the low quality is known as the large factor to disturb the spread of OSS. In this paper, we propose the estimation method of the component importance level based on stochastic differential equation. Also, we find the optimal version-upgrade time. Moreover, we show several numerical illustrations.
机译:目前的软件开发环境一直在变化为新的开发,范式,如同时分布式开发环境和通过网络计算技术等所谓的开源项目。使用网络环境开发的OSS(开源软件)被广泛采用嵌入式系统和服务器使用,因为任何人都可以加入开发。源代码已打开,每个人都可以自由修改。另一方面,较少且低质量的问题被称为扰乱OSS扩散的大因素。本文提出了基于随机微分方程的组成重要级别的估计方法。此外,我们找到了最佳版本升级时间。而且,我们展示了几个数字插图。

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