Comparing Data Science Project Management Methodologies via a Controlled Experiment
Comparing Data Science Project Management Methodologies via a Controlled Experiment
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通过受控实验比较数据科学项目管理方法
DOI：
10.24251/hicss.2017.120
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发表时间：
2017
期刊：
影响因子：
--
通讯作者：
Kevin Crowston
中科院分区：
文献类型：
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作者：
J. Saltz;Ivan Shamshurin;Kevin Crowston
数据科学是一个新兴领域，其重大研究重点是改善可用于分析数据的技术。但是，人们应该如何在数据科学项目上共同努力。在本文中，我们报告了一个实验的结果，该实验比较了四种不同的方法来管理和协调数据科学项目。我们首先介绍一个模型来比较不同的项目管理方法，然后报告我们的实验结果。我们实验的结果表明，基于所使用的方法存在显着差异，敏捷看板方法是最有效，最令人惊讶的是，敏捷的Scrum方法论最不可能。
Data Science is an emerging field with a significant research focus on improving the techniques available to analyze data. However, there has been much less focus on how people should work together on a data science project. In this paper, we report on the results of an experiment comparing four different methodologies to manage and coordinate a data science project. We first introduce a model to compare different project management methodologies and then report on the results of our experiment. The results from our experiment demonstrate that there are significant differences based on the methodology used, with an Agile Kanban methodology being the most effective and surprisingly, an Agile Scrum methodology being the least effective.