Application of Methodologies and Process Models in Big Data Projects

Rosa Quelal, L. Mendoza, M. Villavicencio
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引用次数: 1

Abstract

The concept of Big Data is being used in different business sectors; however, it is not certain which methodologies and process models have been used for the development of these kind of projects. This paper presents a systematic literature review of studies reported between 2012 and 2017 related to agile and non-agile methodologies applied in Big Data projects. For validating our review process, a text mining method was used. The results reveal that since 2016 the number of articles that integrate the agile manifesto in Big Data project has increased, being Scrum the agile framework most commonly applied. We also found that 44% of articles obtained from a manual systematic literature review were automatically identified by applying text mining.
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方法论和过程模型在大数据项目中的应用
大数据的概念正被应用于不同的商业领域;然而,目前还不确定哪些方法和过程模型被用于开发这类项目。本文对2012年至2017年间报道的与大数据项目中应用的敏捷和非敏捷方法相关的研究进行了系统的文献综述。为了验证我们的审查过程,使用了文本挖掘方法。结果显示,自2016年以来,在大数据项目中集成敏捷宣言的文章数量有所增加,Scrum是最常用的敏捷框架。我们还发现,通过应用文本挖掘,从人工系统文献综述中获得的44%的文章被自动识别。
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