TY - GEN
T1 - Towards Team Formation in Software Development
T2 - 17th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology, ECTI-CON 2020
AU - Assavakamhaenghan, Noppadol
AU - Suwanworaboon, Ponlakit
AU - Tanaphantaruk, Waralee
AU - Tuarob, Suppawong
AU - Choetkiertikul, Morakot
N1 - Publisher Copyright:
© 2020 IEEE.
PY - 2020/6
Y1 - 2020/6
N2 - 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).
AB - 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).
KW - Collaborative Software development
KW - Machine Learning
KW - Team Recommendation
UR - https://www.scopus.com/pages/publications/85091873355
U2 - 10.1109/ECTI-CON49241.2020.9158078
DO - 10.1109/ECTI-CON49241.2020.9158078
M3 - Conference contribution
AN - SCOPUS:85091873355
T3 - 17th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology, ECTI-CON 2020
SP - 157
EP - 160
BT - 17th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology, ECTI-CON 2020
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 24 June 2020 through 27 June 2020
ER -