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首页> 外文期刊>International Journal of Innovation and Technology Management >An SRGM for Multi-Release Open Source Software System
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An SRGM for Multi-Release Open Source Software System

机译：用于多版本开源软件系统的SRGM

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摘要

A number of software reliability growth models have been reported in the literature for open source software (OSS) systems but the effect of up-gradations on the reliability growth of multi-releases of such software systems has been discussed by a few. In this paper, the discrete modeling framework has been proposed to study the reliability growth process of OSS systems with multiple releases. The proposed model is based upon the assumption that during up-gradation some new faults are introduced in the code in addition to the left over fault content of the previous version. To validate our model, we have chosen two successful open source projects-Mozilla and Apache for its multi release failure datasets. Graphs representing goodness of fit of the proposed model have been drawn. The parameter estimates and measures of goodness of fit criteria suggest that the proposed software reliability growth model for multi-release OSS fits the actual datasets very well. An optimal release policy has been formulated by taking into account the cost of fault removal during testing and operational phases and reliability targets pre-specified by the decision makers. In addition, numerical example along with the sensitivity analysis has been provided to illustrate optimal release policy.
机译：在开源软件（OSS）系统的文献中已经报道了许多软件可靠性增长模型，但是少数人已经讨论了升级对此类软件系统的多版本可靠性增长的影响。在本文中，提出了离散建模框架来研究具有多个版本的OSS系统的可靠性增长过程。提出的模型基于以下假设：在升级期间，除了先前版本的遗留故障内容之外，代码中还引入了一些新故障。为了验证我们的模型，我们为其多版本失败数据集选择了两个成功的开源项目-Mozilla和Apache。绘制了代表拟议模型拟合优度的图表。参数估计和拟合优度的度量表明，针对多版本OSS提出的软件可靠性增长模型非常适合实际数据集。考虑到测试和操作阶段的故障排除成本以及决策者预先指定的可靠性目标，制定了最佳的发布策略。此外，还提供了数值示例以及敏感性分析来说明最佳释放策略。

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