面向新数据的IT和物联网项目管理方法预测

Q3 Mathematics
S. Merzouk, R. Gandoul, A. Marzak, N. Sael
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引用次数: 1

摘要

在工作场所选择最佳的项目管理方法有助于向客户交付高质量的产品。因此,需要很好的管理方法的知识,他们的特点,优点和缺点,是必要的,能够为具体项目选择最好的。然而,到目前为止,还没有大型的机器学习数据集和决策模型、模型或系统被提出来帮助项目经理最有效地适应其项目的约束。本工作基于实际经验,开发了敏捷物联网项目管理方法的数据集构建。在本文中,我们的目标是提出一个基于标准的模型,允许根据一组标准选择最佳的管理方法来采用这样的IT或物联网项目。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Toward new data for IT and IoT project management method prediction
Selecting the best project management method at the workplace helps to deliver a high-quality product to the customer. Hence, the need for good knowledge of management methods, their characteristics, advantages, and disadvantages, is necessary to be able to select the best for the specific project. However, until now, no large dataset for Machine Learning and decision-making model, model or system has been proposed to help project managers to the most efficient method adapted to the constraints of their projects. This work develops the construction of the dataset for agile and IoT project management method based on the real experiences. In this paper, our objective is to propose a criteria-based model that allows the choice of the best management method to adopt for such an IT or IoT project according to a set of criteria.
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来源期刊
Mathematical Modeling and Computing
Mathematical Modeling and Computing Computer Science-Computational Theory and Mathematics
CiteScore
1.60
自引率
0.00%
发文量
54
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