Software programmer management: a machine learning and human computer interaction framework for optimal task assignment

Abstract

This paper attempts optimal task assignment at the enterprise-level by assigning complexity metrics to the programming tasks and predicting task completion times for each of these tasks based on a machine learning framework that factors in programmer attributes. The framework also considers real-time programmer state by using a simple EEG device to detect programmer mood. A final task assignment is made using a PDTS solver.