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.
翻译:软件可靠性增长模型(SRGMs)基于基础假设,这些假设一般更适合对封闭源项目及其开发生命周期进行质量评估,这些模型在开放源软件项目中的使用是一场辩论的主题。虽然对开放源码软件适用性的调查研究确实存在,但它们受到所考虑的可能导致无结果结果的模型和项目数目的限制。在本文中,我们介绍了对总共88个开放源码软件项目适用性的研究实验性研究,比较了9个SRGMs,审视了整个项目、释放、不同领域和不同项目属性的最佳模型的稳定性。在STRAIT工具的帮助下,我们自动储存采矿、数据处理和SRGM分析,以更好地进行再版。总体而言,我们发现SRGMs对开放源码软件适用性很好,但在将数据分为释放和领域时表现不同,我们强调了将结果概括化和寻找一种通用模型的困难。