首先看看OpenStack中的bug

Washington Garcia, Theophilus A. Benson
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引用次数: 3

摘要

由于云基础设施的便利性、低成本和可伸缩性,越来越多的流行服务正在利用云基础设施。然而,随着越来越多的服务转向云作为向消费者存储和交付数据的手段,云基础设施的缺陷变得更加明显。当云基础设施出现故障时,后果是灾难性的,故障会成为全国性的头条新闻。亚马逊、Quora、Netflix和许多社交媒体网站等流行服务都以云计算为核心。尽管近年来出现了新的云基础设施,但是关于它们包含什么类型的错误以及这些错误如何影响云组件的服务质量的知识有限。我们提出了一个系统,它可以使用开发人员提供的自然语言描述自动分类错误票据。然后,我们利用这个系统对30k个OpenStack bug的随机子样本进行分类,并揭示与OpenStack版本、优先级分配和项目特征相关的趋势。例如,我们发现OpenStack模块中超过70%的bug是存在的问题,其中超过一半的bug与可靠性有关。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A First Look at Bugs in OpenStack
An increasing amount of popular services are utilizing cloud infrastructure due to its convenience, low cost, and scalability. However, as more services turn to cloud as a means of storing and delivering data to consumers, the faults of cloud infrastructure become more apparent. When cloud infrastructure fails, the consequences are disastrous, with failures making national headlines. Popular services such as Amazon, Quora, Netflix, and many social media sites all rely on cloud computing at their core. Although new cloud infrastructures have sprouted in recent years, there is limited knowledge about what type of bugs they contain, and how these bugs affect quality of service of cloud components. We propose a system that can automatically classify bug tickets using the natural language descriptions provided by developers. We then utilize this system to classify a random sub-sample of 30k OpenStack bugs, and reveal trends related to OpenStack releases, priority assignments, and project characteristics. For example, we find that existing issues make up over 70% of bugs in OpenStack modules, with over half of these bugs corresponding to reliability.
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