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In large-scale feature models, feature modeling and configuration processesare highly expected to be done by a group of stakeholders. In this context,recommendation techniques can increase the efficiency of feature-model designand find optimal configurations for groups of stakeholders. Existing studiesshow plenty of issues concerning feature model navigation support, groupmembers' satisfaction, and conflict resolution. This study proposes grouprecommendation techniques for feature modeling and configuration on the basisof addressing the mentioned issues.

Group Recommendation Techniques for Feature Modeling and Configuration