A Point Process Approach of Bug Fixing Analysis in Open Source Software Projects

Takahiro Ushiroda, T. Dohi, Yasuhiro Saito, H. Okamura
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引用次数: 1

Abstract

One of open-source software (OSS) is that it can be used for a long term by repeating version-up iteratively in the operational phase, so that OSS possesses a different software bug detection and correction profiles from the closed source software (CSS) products. More specifically, the software bug fixing process of OSS can be considered to show effects of the long-term operation and/or periodicity due to the multiple version-up procedures, in addition to the common reliability growth phenomenon observed in the relatively short-term software testing. In this article we propose a stochastic point process approach to represent the long-term effect and the periodicity effect of OSS with the actual OSS bug fixing data. By conducting the reliability analysis of OSS, it is possible to assess the operational reliability of OSS quantitatively and to share the published quality indicators of OSS by the whole OSS community.
开源软件项目中Bug修复分析的点过程方法
开源软件(OSS)的一个优点是可以通过在运行阶段迭代地重复版本升级来长期使用,从而使OSS拥有与闭源软件(CSS)产品不同的软件缺陷检测和纠正配置文件。更具体地说,OSS的软件bug修复过程除了在相对短期的软件测试中观察到常见的可靠性增长现象外,还可以认为是由于多次版本升级过程导致的长期运行和/或周期性的影响。在本文中,我们提出了一种随机点过程方法,用实际的OSS bug修复数据来表示OSS的长期效应和周期性效应。通过对OSS进行可靠性分析,可以定量地评估OSS的运行可靠性,并在整个OSS社区共享已发布的OSS质量指标。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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