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

Institut für Softwaretechnologie (7160)

Publikation: Beitrag in Buch/Bericht/Konferenzband › Beitrag in einem Konferenzband › Begutachtung

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.

Originalsprache	englisch
Titel	Proceedings - 2021 IEEE/ACM 43rd International Conference on Software Engineering
Untertitel	Companion Proceedings, ICSE-Companion 2021
Seiten	266-268
Seitenumfang	3
ISBN (elektronisch)	978-1-6654-1219-3
DOIs	https://doi.org/10.1109/ICSE-Companion52605.2021.00123
Publikationsstatus	Veröffentlicht - 7 Mai 2021
Veranstaltung	2021 IEEE/ACM 43rd International Conference on Software Engineering: Doctoral Symposium - Virtuell, Spanien Dauer: 25 Mai 2021 → 28 Mai 2021 https://conf.researchr.org/track/icse-2021/icse-2021-Doctoral-Symposium

Konferenz

Konferenz	2021 IEEE/ACM 43rd International Conference on Software Engineering
Kurztitel	ICSE-DS 2021
Land/Gebiet	Spanien
Ort	Virtuell
Zeitraum	25/05/21 → 28/05/21
Internetadresse	https://conf.researchr.org/track/icse-2021/icse-2021-Doctoral-Symposium

ASJC Scopus subject areas

Software

Zugriff auf Dokument

10.1109/ICSE-Companion52605.2021.00123

Andere Dateien und Links

http://www.scopus.com/inward/record.url?scp=85115719549&partnerID=8YFLogxK

Group Recommendation Techniques for Feature Modeling and Configuration
Viet Man Le (Redner/in)
21 Mai 2021
Aktivität: Vortrag oder Präsentation › Vortrag bei Konferenz oder Fachtagung › Science to science

Dieses zitieren

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. S. 266-268, 2021 IEEE/ACM 43rd International Conference on Software Engineering, Virtuell, Spanien, 25/05/21. https://doi.org/10.1109/ICSE-Companion52605.2021.00123

@inproceedings{3e303ec03f4542f18bf272dd17da2fcc,

title = "Group Recommendation Techniques for Feature Modeling and Configuration",

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{\textquoteright} satisfaction, and conflict resolution. This study proposes group recommendation techniques for feature modeling and configuration on the basis of addressing the mentioned issues.",

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",

author = "Le, {V. -M.}",

year = "2021",

month = may,

day = "7",

doi = "10.1109/ICSE-Companion52605.2021.00123",

language = "English",

pages = "266--268",

booktitle = "Proceedings - 2021 IEEE/ACM 43rd International Conference on Software Engineering",

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

url = "https://conf.researchr.org/track/icse-2021/icse-2021-Doctoral-Symposium",

}

TY - GEN

T1 - Group Recommendation Techniques for Feature Modeling and Configuration

AU - Le, V. -M.

PY - 2021/5/7

Y1 - 2021/5/7

N2 - 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.

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

UR - http://www.scopus.com/inward/record.url?scp=85115719549&partnerID=8YFLogxK

U2 - 10.1109/ICSE-Companion52605.2021.00123

DO - 10.1109/ICSE-Companion52605.2021.00123

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

Konferenz

ASJC Scopus subject areas

Zugriff auf Dokument

Andere Dateien und Links

Fingerprint

Aktivitäten

Group Recommendation Techniques for Feature Modeling and Configuration

Dieses zitieren