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Stochastic Differential Equation Models Considering Jump Diffusion Process For An Open Source Software

机译：开源软件考虑跳扩散过程的随机微分方程模型

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Many open source softwares have been developed in all parts of the world, e.g., Firefox, Apache HTTP server, Linux, Android, etc. Open source software is now attracting attention as the next-generation software development paradigm because of the cost reduction, quick delivery, and work saving. This paper focuses on the irregular fluctuation of version upgrade and the total track of fault data for the open source software. A new approach to software reliability assessment is presented by using a jump diffusion process based on the stochastic differential equations in order to consider the change of requirements specification and the irregular fluctuation of version upgrade . Also, a set of actual software fault-count data is analyzed in order to show numerical examples of software reliability assessment. In particular, several reliability assessment measures are derived from our jump diffusion model. Moreover, this paper shows that the proposed method of reliability analysis can assist quality improvement for the open source software project.
机译：世界各地已经开发了许多开源软件，例如Firefox，Apache HTTP服务器，Linux，Android等。由于降低了成本，快速，快速地将开源软件作为下一代软件开发范例而引起了人们的关注。交付和节省工作。本文主要关注开源软件的版本升级的不规则波动和故障数据的总跟踪。为了考虑需求规格的变化和版本升级的不规则波动，提出了一种基于随机微分方程的跳跃扩散法进行软件可靠性评估的新方法。此外，还分析了一组实际的软件故障计数数据，以显示软件可靠性评估的数值示例。特别是，从我们的跳跃扩散模型中得出了几种可靠性评估方法。此外，本文表明，所提出的可靠性分析方法可以帮助提高开源软件项目的质量。

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