Future of Project Management with Machine Learning

Abstract

Software companies will constantly work on numerous projects at a time. Project managers are responsible for making each project successful. As to monitor and control many projects organizations use project management tools to perform tasks in a well-organized manner. Current day’s lot of data is generated in organizations related to software development as the organizations use project management tools to track the status of the project. This project data generated by project management tools like Jira, Asana, and Trello can be used to solve resource allocation problems. Though there are numerous solutions for addressing the project scheduling problem, none of them has intelligent decision-making. Research is still scarce in the area of software project management and evidence is required to assess the theoretical methods and ideas. This paper introduces a resource allocation method that uses machine learning for effective project scheduling.