Group Recommendation Techniques for Feature Modeling and Configuration

V. -M. Le

doi:10.1109/ICSE-Companion52605.2021.00123

Group Recommendation Techniques for Feature Modeling and Configuration

V. -M. Le

Institute of Software Engineering and Artificial Intelligence (7160)

Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review

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 language	English
Title of host publication	Proceedings - 2021 IEEE/ACM 43rd International Conference on Software Engineering
Subtitle of host publication	Companion Proceedings, ICSE-Companion 2021
Pages	266-268
Number of pages	3
ISBN (Electronic)	978-1-6654-1219-3
DOIs	https://doi.org/10.1109/ICSE-Companion52605.2021.00123
Publication status	Published - 7 May 2021
Event	2021 IEEE/ACM 43rd International Conference on Software Engineering: Doctoral Symposium - Virtuell, Spain Duration: 25 May 2021 → 28 May 2021 https://conf.researchr.org/track/icse-2021/icse-2021-Doctoral-Symposium

Conference

Conference	2021 IEEE/ACM 43rd International Conference on Software Engineering
Abbreviated title	ICSE-DS 2021
Country/Territory	Spain
City	Virtuell
Period	25/05/21 → 28/05/21
Internet address	https://conf.researchr.org/track/icse-2021/icse-2021-Doctoral-Symposium

Keywords

Group-based recommendation
Group decision making
Feature models
Configuration
Software Product Lines
feature models
group decision making
software product line
group-based recommendation
configuration

ASJC Scopus subject areas

Software

Access to Document

10.1109/ICSE-Companion52605.2021.00123

Cite this

Le, V-M 2021, Group Recommendation Techniques for Feature Modeling and Configuration. in Proceedings - 2021 IEEE/ACM 43rd International Conference on Software Engineering: Companion Proceedings, ICSE-Companion 2021. pp. 266-268, 2021 IEEE/ACM 43rd International Conference on Software Engineering, Virtuell, Spain, 25/05/21. https://doi.org/10.1109/ICSE-Companion52605.2021.00123

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note = "2021 IEEE/ACM 43rd International Conference on Software Engineering : Doctoral Symposium, ICSE-DS 2021 ; Conference date: 25-05-2021 Through 28-05-2021",

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AB - 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.

KW - Group-based recommendation

KW - Group decision making

KW - Feature models

KW - Configuration

KW - Software Product Lines

KW - feature models

KW - group decision making

KW - software product line

KW - group-based recommendation

KW - configuration

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M3 - Conference paper

SP - 266

EP - 268

BT - Proceedings - 2021 IEEE/ACM 43rd International Conference on Software Engineering

T2 - 2021 IEEE/ACM 43rd International Conference on Software Engineering

Y2 - 25 May 2021 through 28 May 2021

ER -

Group Recommendation Techniques for Feature Modeling and Configuration

Abstract

Conference

Keywords

ASJC Scopus subject areas

Access to Document

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