Incorporating Psychological Factors into Software Engineering Team FormationVasiljević, Jan (Avtor) Lavbič, Dejan (Mentor) data analysisteam formationrecommender systempsychological analysissimulated annealingTeam dynamics play a pivotal role in software engineering projects. Traditional approaches to analyzing and forming effective teams have predominantly centered on empirical measurements. However, recent years have seen a marked surge in integrating individual psychological traits into team composition methodologies. Using a blend of traditional statistical methods and machine learning techniques, this thesis delves into understanding teams as cohesive units, focusing on inter-member dynamics. Among the personality traits studied, conscientiousness, extraversion, and neuroticism stand out as significant influencers of team performance. Furthermore, member satisfaction is identified as a critical factor correlating with team success and is modeled using a gradient-boosting classification algorithm, achieving an accuracy of 74\%. A simulated annealing algorithm is introduced, designed to systematically assemble individuals into teams, promoting an equitable environment for all. In comparative analyses, this algorithm consistently outperformed other methods we evaluated. The culmination of this research is a user-centric recommender system that gathers data about participants, subsequently organizing them into harmonious teams.20232023-09-13 20:00:00Diplomsko delo/naloga150096sl