Effects of participative management on the performance of software development teams
SIGCPR '94 Proceedings of the 1994 computer personnel research conference on Reinventing IS : managing information technology in changing organizations: managing information technology in changing organizations
Types of collaborative work in software engineering
Journal of Systems and Software
Coordinating Expertise in Software Development Teams
Management Science
Fair division as a means of apportioning software engineering class projects
Proceedings of the 39th SIGCSE technical symposium on Computer science education
Preparing students for industry's software engineering needs
Proceedings of the 39th SIGCSE technical symposium on Computer science education
What do software practitioners really think about project success: A cross-cultural comparison
Journal of Systems and Software
Teaching computer aided software engineering at the graduate level
Proceedings of the 13th annual conference on Innovation and technology in computer science education
Software engineering education: How far we've come and how far we have to go
Journal of Systems and Software
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This paper proposes a new model for team building, which enables teachers to build coherent teams rapidly and fairly for the term projects of software engineering courses. Moreover, the model can also be used to build teams for any type of project, if the team member candidates are students, or if they are inexperienced on a certain subject. The proposed model takes students' preferences and the teacher's considerations into account when a team building process is required for any type of course. In addition, this paper investigates how team building models (RandomM: teams are built with randomly selected students; TeacherM: teacher selects the members for each team; StudentsM: students build their own teams and the proposed model) affect team performance and how gender differences affect project activities and team performance. A three-year (five semesters) teaching experiment was performed with the participation of 248 male and 79 female university students and a total of 67 software project teams. Two different One-way ANOVA tests were applied on the experimental data, and the results indicated that the proposed model was better than RandomM, TeacherM and StudentsM models in terms of project grades, and the effect of gender differences on the teams' performance and project activities was negligible.