A machine-based personality oriented team recommender for software development organizations

摘要: Hiring the right person for job is always a challenging task in software development landscapes. To bridge this gap, firms start using psychometric instruments investigating personality types of practitioners. In our previous research, we have developed an MBTI-like instrument to reveal This study aims develop personality-based team recommender mechanism improve effectiveness teams. The based on predicting possible patterns teams machine-based classifier. classifier trained with empirical data (e.g. types, roles), which was collected from 52 practitioners working five different 12 were selected testing process who recommended by work these preliminary results suggest that system may provide effective approach as compared ad-hoc methods formation organizations. Ultimately, overall performance proposed 83.3%. These findings seem acceptable especially tasks suggestion where individuals might be able fit more than one team.