Managing software engineering teams in a systematic, controlled, and efficient manner often results in higher quality software. Today, with around the clock software development, software teams consist of members from geographically different locations and a variety of cultures. A few software development team compositions have been presented based on tasks, personality, and role descriptions. While these have been shown effective for understanding software teams and to some extent predicting favorable team configurations, there are no team structures or models to configure software development teams based on cultural aspects. Therefore, this thesis proposes a model for assembling software teams based on roles, personality, and cultural profiles. In particular, this research investigates how the Belbin and Myers-Briggs model, and Keirsey theories could be applied effectively to software development teams based on previous studies and analysis conducted in this study. Moreover, the study not only explores the relationship between Belbin roles and Myers-Briggs personality types, but examines how cultural differences with respect to their values and other project influences could be mapped successfully into the team profiles. / Master of Science