Abstract
Feature models are used to represent variability properties of complex items. In most of the cases, the assumption in feature model configuration is that single users/stakeholders are interacting with the underlying configurator. However, there are many scenarios where multiple stakeholders need to jointly complete a configuration task, for example, when selecting the features to be included in a company-wide software service or when deciding about the software features to be included in upcoming releases. In such cases, decisions have to be taken jointly where the constraints and preferences of individual stakeholders have to be taken into account. In this paper, we show how multi-stakeholder recommender systems can be integrated in feature model configuration scenarios.
Original language | English |
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Title of host publication | 26th ACM International Systems and Software Product Line Conference, SPLC 2022 - Proceedings |
Editors | Alexander Felfernig, Lidia Fuentes, Jane Cleland-Huang, Wesley K.G. Assuncao, Wesley K.G. Assuncao, Clement Quinton, Jianmei Guo, Klaus Schmid, Marianne Huchard, Inmaculada Ayala, Jose Miguel Rojas, Viet-Man Le, Jose Miguel Horcas |
Publisher | Association of Computing Machinery |
Pages | 178-182 |
Number of pages | 5 |
Volume | B |
ISBN (Electronic) | 9781450392068 |
DOIs | |
Publication status | Published - 12 Sept 2022 |
Event | 26th ACM International Systems and Software Product Line Conference: ASPLC 2022 - Graz, Austria Duration: 12 Sept 2022 → 16 Sept 2022 http://2022.splc.net/ |
Conference
Conference | 26th ACM International Systems and Software Product Line Conference |
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Abbreviated title | SPLC'22 |
Country/Territory | Austria |
City | Graz |
Period | 12/09/22 → 16/09/22 |
Internet address |
Keywords
- feature model configuration
- feature models
- group decision making
- multi-stakeholder recommendation
ASJC Scopus subject areas
- Software