A systematic literature review on machine learning applications for agile project management

Abstract

Since the rise of agile methods, it has become important to maintain their management and monitoring to succeed in the transformation process from a traditional approach to an agile one. In addition to this, several authors have used Machine Learning models to support prediction or estimation processes in the Project Management framework. However, there are current challenges and areas of opportunity in relation to Agile Project Management in combination with Machine Learning. Therefore, in this paper, we have conducted a systematic review of the literature to know the current state of Machine Learning applied to Agile Project Management, in order to know which techniques are currently the most used and thus detect new areas of opportunity.