期刊名称：Journal of Theoretical and Applied Information Technology
印刷版ISSN：1992-8645
电子版ISSN：1817-3195
出版年度：2020
卷号：98
期号：10
页码：1550-1563
出版社：Journal of Theoretical and Applied
摘要：Machine learning (ML) is a trending research topic that affects a wide variety of disciplines including project management (PM). To provide clear insight of the use of machine learning in project management, identify gaps in current works and help researchers choose best options for their works, we conducted a Systematic Mapping Study review (SMS) following the guidelines presented by Petersen et al. [1]. We investigated studies reported from 2010 to 2019. 137 articles have been analyzed resulting in 33 primary studies. We found that ML is more involved in management of software project, especially, in effort estimation. We also found that a large range of ML techniques have been investigated, and Neural Network is by far the most widely used. We believe the results will be useful to understand the state of art of the use of ML in PM, and shed light on research topics that have not yet been explored.
关键词：Machine learning (ML);Project Management (PM);Systematic Mapping Study (SMS)
