Consistency-based integration of multi-stakeholder recommender systems with feature model configuration.

Research output: Chapter in Book/Report/Conference proceedingConference paperpeer-review

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 languageEnglish
Title of host publicationProceedings of the 26th ACM International Systems and Software Product Line Conference
PublisherAssociation of Computing Machinery
Pages178-182
Number of pages5
VolumeB
ISBN (Electronic)9781450392068
DOIs
Publication statusPublished - 12 Sep 2022
Event26th ACM International Systems and Software Product Line Conference: SPLC'22 - Graz, Austria
Duration: 12 Sep 202216 Sep 2022
http://2022.splc.net/

Conference

Conference26th ACM International Systems and Software Product Line Conference
Abbreviated titleSPLC 2022
Country/TerritoryAustria
CityGraz
Period12/09/2216/09/22
Internet address

Fingerprint

Dive into the research topics of 'Consistency-based integration of multi-stakeholder recommender systems with feature model configuration.'. Together they form a unique fingerprint.

Cite this