Group Recommendation Techniques for Feature Modeling and Configuration

Research output: Chapter in Book/Report/Conference proceedingConference paper

Abstract

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.
Original languageEnglish
Title of host publication2021 IEEE/ACM 43rd International Conference on Software Engineering: Companion Proceedings (ICSE-Companion)
Pages266-268
Number of pages3
ISBN (Electronic)978-1-6654-1219-3
DOIs
Publication statusPublished - 7 May 2021
Event2021 IEEE/ACM 43rd International Conference on Software Engineering: Doctoral Symposium - Virtuell, Spain
Duration: 25 May 202128 May 2021
https://conf.researchr.org/track/icse-2021/icse-2021-Doctoral-Symposium

Conference

Conference2021 IEEE/ACM 43rd International Conference on Software Engineering
Abbreviated titleICSE-DS 2021
CountrySpain
CityVirtuell
Period25/05/2128/05/21
Internet address

Keywords

  • Group-based recommendation
  • Group decision making
  • Feature models
  • Configuration
  • Software Product Lines

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