首页> 外文会议>19th Asia-Pacific Software Engineering Conference.;vol. 1. >An Empirical Study of Reliability Growth of Open versus Closed Source Software through Software Reliability Growth Models
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An Empirical Study of Reliability Growth of Open versus Closed Source Software through Software Reliability Growth Models

机译:通过软件可靠性增长模型对开放源代码软件和封闭源代码软件的可靠性增长进行的实证研究

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The purpose of this study is to analyze the reliability growth of Open Source Software (OSS) versus software developed in-house (i.e. Closed Source Software, CSS) using Software Reliability Growth Model. This study uses 22 datasets containing failure data of CSS and 18 datasets containing defect data of OSS projects. The failure data are modelled by eight SRGM (Musa Okumoto, Inflection S-Shaped, Goel Okumoto, Delayed S-Shaped, Logistic, Gompertz, Yamada Exponential, and Generalized Goel Model). These models are chosen due to their widespread use. The results can be summarized as follows All selected SRGM fit to defect data of the OSS projects in the same manner as that of CSS. OSS reliability grows similarly to that of CSS. Musa Okumoto and Inflection S-Shaped perform well for CSS, while for OSS Inflection S-Shaped and Gompertz are good performers. SRGM can be used for reliability characterization of OSS projects.
机译:这项研究的目的是使用软件可靠性增长模型来分析开放源代码软件(OSS)与内部开发的软件(即,闭源软件,CSS)的可靠性增长。本研究使用22个包含CSS失败数据的数据集和18个包含OSS项目缺陷数据的数据集。失效数据由八个SRGM建模(Musa Okumoto,拐点S形,Goel Okumoto,延迟S形,Logistic,Gompertz,Yamada指数和广义Goel模型)。选择这些模型是由于它们的广泛使用。结果总结如下:所有选定的SRGM都以与CSS相同的方式适合OSS项目的缺陷数据。 OSS的可靠性与CSS的增长类似。在CSS中,Musa Okumoto和Inflection S-Shaped表现出色,而在OSS中,Inflection S-Shaped和Gompertz表现出色。 SRGM可用于OSS项目的可靠性表征。

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