Noppadol AssavakamhaenghanPonlakit SuwanworaboonWaralee TanaphantarukSuppawong TuarobMorakot ChoetkiertikulMahidol University2020-11-182020-11-182020-06-0117th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology, ECTI-CON 2020. (2020), 157-1602-s2.0-85091873355https://repository.li.mahidol.ac.th/handle/20.500.14594/59947© 2020 IEEE. Software development is a team-based intensive activity where various skills (e.g. technical and analysis skills) are required to deliver high quality outcomes. An effective team member assignment is thus a crucial process. In this paper, we propose to adopt the existing machine learning approach for team recommendation to recommend software team members who are suitable for a given task. The approach take both individual strength and collaborative efficiency among team members into account to give a recommendation. We evaluate the approach on the Moodle project, well-known open source software project. The evaluation results show that the adopted approach yields a better recommendation performance compared to the baseline (i.e. random assignment approach).Mahidol UniversityComputer ScienceDecision SciencesEngineeringConference PaperSCOPUS10.1109/ECTI-CON49241.2020.9158078