Big(ger) Data in Software Engineering

M. Nagappan, Mehdi Mirakhorli
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引用次数: 5

Abstract

"Big Data" analytics has become the next hot topic for most companies - from financial institutions to technology companies to service providers. Likewise in software engineering, data collected about the development of software, the operation of the software in the field, and the users feedback on software have been used before. However, collecting and analyzing this information across hundreds of thousands or millions of software projects gives us the unique ability to reason about the ecosystem at large, and software in general. At no time in history has there been easier access to extremely powerful computational resources as it is today, thanks to the advances in cloud computing, both from the technology and business perspectives. In this technical briefing, we will present the state-of-the-art with respect to the research carried out in the area of big data analytics in software engineering research.
软件工程中的大数据
从金融机构到科技公司再到服务提供商,“大数据”分析已成为大多数公司的下一个热门话题。同样的,在软件工程中,收集到的关于软件开发的数据,软件在现场的运行情况,以及用户对软件的反馈,都是之前使用过的。然而,在成千上万或数百万个软件项目中收集和分析这些信息给了我们独特的能力来推断整个生态系统,以及一般的软件。由于云计算的进步,从技术和业务角度来看,历史上没有任何时候像今天这样容易获得极其强大的计算资源。在本技术简报中,我们将介绍软件工程研究中大数据分析领域的最新研究成果。
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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