软件可靠性增长模型在开源软件中的适用性

Radoslav Micko, Stanislav Chren, B. Rossi
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引用次数: 0

摘要

软件可靠性增长模型(SRGMs)基于潜在的假设,这些假设使它们更适合闭源项目及其开发生命周期的质量评估。它们在开源软件(OSS)项目中的使用是一个有争议的话题。尽管调查SRGMs在OSS环境中的适用性的研究确实存在,但它们受到所考虑的模型和项目数量的限制,这可能导致不确定的结果。在本文中,我们对总共88个OSS项目的SRGMs适用性进行了实验研究,比较了9个SRGMs,观察了在整个项目、发布版本、不同领域以及根据不同项目属性的最佳模型的稳定性。在STRAIT工具的帮助下,我们自动化了存储库挖掘、数据处理和SRGM分析,以获得更好的再现性。总的来说,我们发现srgm对OSS有很好的适用性,但是在将数据集分割为版本和领域时表现不同,突出了概括发现和寻找一刀切模型的困难。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Applicability of Software Reliability Growth Models to Open Source Software
Software Reliability Growth Models (SRGMs) are based on underlying assumptions which make them typically more suited for quality evaluation of closed-source projects and their development lifecycles. Their usage in open-source software (OSS) projects is a subject of debate. Although the studies investigating the SRGMs applicability in OSS context do exist, they are limited by the number of models and projects considered which might lead to inconclusive results. In this paper, we present an experimental study of SRGMs applicability to a total of 88 OSS projects, comparing nine SRGMs, looking at the stability of the best models on the whole projects, on releases, on different domains, and according to different projects’ attributes. With the aid of the STRAIT tool, we automated repository mining, data processing, and SRGM analysis for better reproducibility. Overall, we found good applicability of SRGMs to OSS, but with different performance when segmenting the dataset into releases and domains, highlighting the difficulty in generalizing the findings and in the search for one-fits-all models.
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