Abstract
Configurators can be evaluated in various ways such as efficiency and completeness of solution search, optimality of the proposed solutions, usability of configurator user interfaces, and configuration consistency. Due to the increasing size and complexity of feature models, the integration of recommendation algorithms with feature model configurators becomes relevant. In this paper, we show how the output of a recommender system can be evaluated within the scope of feature model configuration scenarios. Overall, we argue that the discussed ways of measuring recommendation quality help developers to gain a broader view on evaluation techniques in constraint-based recommendation domains.
Original language | English |
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Title of host publication | Proceedings of the 25th ACM International Systems and Software Product Line Conference, SPLC 2021 |
Editors | Mohammad Mousavi, Pierre-Yves Schobbens, Hugo Araujo, Ina Schaefer, Maurice H. ter Beek, Xavier Devroey, Jose Miguel Rojas, Monica Pinto, Leopoldo Teixeira, Thorsten Berger, Johannes Noppen, Iris Reinhartz-Berger, Paul Temple, Ferruccio Damiani, Justyna Petke |
Publisher | Association of Computing Machinery |
Pages | 58-63 |
Number of pages | 6 |
ISBN (Electronic) | 978-1-4503-8469-8 |
DOIs | |
Publication status | Published - 6 Sept 2021 |
Event | 25th ACM International Systems and Software Product Line Conference: SPLC'21 - Virtuell, United Kingdom Duration: 6 Sept 2021 → 11 Sept 2021 https://splc2021.net |
Conference
Conference | 25th ACM International Systems and Software Product Line Conference |
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Abbreviated title | SPLC'21 |
Country/Territory | United Kingdom |
City | Virtuell |
Period | 6/09/21 → 11/09/21 |
Internet address |
Keywords
- configuration
- evaluation
- feature models
- recommender systems
ASJC Scopus subject areas
- Software
- Human-Computer Interaction
- Computer Vision and Pattern Recognition
- Computer Networks and Communications