  In large-scale feature models, feature modeling and configuration processes
are highly expected to be done by a group of stakeholders. In this context,
recommendation techniques can increase the efficiency of feature-model design
and find optimal configurations for groups of stakeholders. Existing studies
show plenty of issues concerning feature model navigation support, group
members' satisfaction, and conflict resolution. This study proposes group
recommendation techniques for feature modeling and configuration on the basis
of addressing the mentioned issues.
