A Decision Support System for Role Assignment in Software Project Management with Evaluation of Personality Types

Abstract

Recent studies show that personal factors in software engineering are effective on team performance, motivation and job quality. Forming team members or incorporation of a new member into the team that currently working on a software project directly affects the project team’s work performance and hence the progress of the project. In this study, a decision support system was developed to provide the ability to select team members according to personal characteristics in order to improve the performance of software project teams. The developed decision support system, determines the project roles that can be appropriate by analyzing the personality type of the project team members. The fuzzy c-means method, one of the fuzzy clustering methods, was used when the IPI personality inventory and personality type team members were determined to be appropriate to their personality type. © 2020, Springer Nature Switzerland AG.