Intelligent Recommendation & Decision Technologies for Community-Driven Requirements Engineering

Ralph Samer; Martin Stettinger; Alexander Felfernig; Xavier  Franch; Andreas Falkner

doi:10.3233/FAIA200477

Intelligent Recommendation & Decision Technologies for Community-Driven Requirements Engineering

Ralph Samer, Martin Stettinger, Alexander Felfernig, Xavier Franch, Andreas Falkner

Institut für Softwaretechnologie (7160)

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

Abstract

Requirements Engineering (RE) represents a criticalphase in the management and planning of software projects. One ofthe main reasons for project failure is missing or incomplete RE. Inorder to reduce the risk of project failure, there exists a high andurgent demand for applying intelligent technologies in RE. Sincethe RE process is mainly decision- and community-driven,Recom-mender Systemsare supposed to be applied in this particular con-text to support stakeholders in decision-making and, hence, to in-crease the quality of the decisions taken by the stakeholders. Thispaper introduces a variety of innovative recommendation tools devel-oped within the scope of the European Horizon 2020 research projectOPENREQ. Moreover, we give an overview of user studies conductedto evaluate our approaches and present final results of selected stud-ies. The study results indicate that the developed concepts have thepotential to significantly improve the quality of requirements defini-tion and requirements prioritization.

Originalsprache	englisch
Titel	ECAI 2020 - 24th European Conference on Artificial Intelligence, including 10th Conference on Prestigious Applications of Artificial Intelligence, PAIS 2020 - Proceedings
Redakteure/-innen	Giuseppe De Giacomo, Alejandro Catala, Bistra Dilkina, Michela Milano, Senen Barro, Alberto Bugarin, Jerome Lang
Herausgeber (Verlag)	IOS Press BV
Seiten	3017-3025
Seitenumfang	9
ISBN (elektronisch)	9781643681009
DOIs	https://doi.org/10.3233/FAIA200477
Publikationsstatus	Veröffentlicht - 24 Aug. 2020
Veranstaltung	24th European Conference on Artificial Intelligence: ECAI 2020 - Virtuell, Spanien Dauer: 29 Aug. 2020 → 8 Sept. 2020 Konferenznummer: 24 http://ecai2020.eu/

Publikationsreihe

Name	Frontiers in Artificial Intelligence and Applications
Band	325
ISSN (Print)	0922-6389

Konferenz

Konferenz	24th European Conference on Artificial Intelligence
Kurztitel	ECAI 2020
Land/Gebiet	Spanien
Ort	Virtuell
Zeitraum	29/08/20 → 8/09/20
Internetadresse	http://ecai2020.eu/

ASJC Scopus subject areas

Artificial intelligence

Zugriff auf Dokument

10.3233/FAIA200477Lizenz: CC BY-NC 4.0

https://ecai2020.eu/papers/pais/6_paper.pdf

Andere Dateien und Links

http://www.scopus.com/inward/record.url?scp=85091775967&partnerID=8YFLogxK

Dieses zitieren

Samer, R., Stettinger, M., Felfernig, A., Franch, X., & Falkner, A. (2020). Intelligent Recommendation & Decision Technologies for Community-Driven Requirements Engineering. in G. De Giacomo, A. Catala, B. Dilkina, M. Milano, S. Barro, A. Bugarin, & J. Lang (Hrsg.), ECAI 2020 - 24th European Conference on Artificial Intelligence, including 10th Conference on Prestigious Applications of Artificial Intelligence, PAIS 2020 - Proceedings (S. 3017-3025). (Frontiers in Artificial Intelligence and Applications; Band 325). IOS Press BV. https://doi.org/10.3233/FAIA200477

Intelligent Recommendation & Decision Technologies for Community-Driven Requirements Engineering. / Samer, Ralph; Stettinger, Martin ; Felfernig, Alexander et al.
ECAI 2020 - 24th European Conference on Artificial Intelligence, including 10th Conference on Prestigious Applications of Artificial Intelligence, PAIS 2020 - Proceedings. Hrsg. / Giuseppe De Giacomo; Alejandro Catala; Bistra Dilkina; Michela Milano; Senen Barro; Alberto Bugarin; Jerome Lang. IOS Press BV, 2020. S. 3017-3025 (Frontiers in Artificial Intelligence and Applications; Band 325).

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

Samer, R, Stettinger, M , Felfernig, A, Franch, X & Falkner, A 2020, Intelligent Recommendation & Decision Technologies for Community-Driven Requirements Engineering. in G De Giacomo, A Catala, B Dilkina, M Milano, S Barro, A Bugarin & J Lang (Hrsg.), ECAI 2020 - 24th European Conference on Artificial Intelligence, including 10th Conference on Prestigious Applications of Artificial Intelligence, PAIS 2020 - Proceedings. Frontiers in Artificial Intelligence and Applications, Bd. 325, IOS Press BV, S. 3017-3025, 24th European Conference on Artificial Intelligence, Virtuell, Spanien, 29/08/20. https://doi.org/10.3233/FAIA200477

Samer R, Stettinger M , Felfernig A, Franch X, Falkner A. Intelligent Recommendation & Decision Technologies for Community-Driven Requirements Engineering. in De Giacomo G, Catala A, Dilkina B, Milano M, Barro S, Bugarin A, Lang J, Hrsg., ECAI 2020 - 24th European Conference on Artificial Intelligence, including 10th Conference on Prestigious Applications of Artificial Intelligence, PAIS 2020 - Proceedings. IOS Press BV. 2020. S. 3017-3025. (Frontiers in Artificial Intelligence and Applications). doi: 10.3233/FAIA200477

Samer, Ralph ; Stettinger, Martin ; Felfernig, Alexander et al. / Intelligent Recommendation & Decision Technologies for Community-Driven Requirements Engineering. ECAI 2020 - 24th European Conference on Artificial Intelligence, including 10th Conference on Prestigious Applications of Artificial Intelligence, PAIS 2020 - Proceedings. Hrsg. / Giuseppe De Giacomo ; Alejandro Catala ; Bistra Dilkina ; Michela Milano ; Senen Barro ; Alberto Bugarin ; Jerome Lang. IOS Press BV, 2020. S. 3017-3025 (Frontiers in Artificial Intelligence and Applications).

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abstract = "Requirements Engineering (RE) represents a criticalphase in the management and planning of software projects. One ofthe main reasons for project failure is missing or incomplete RE. Inorder to reduce the risk of project failure, there exists a high andurgent demand for applying intelligent technologies in RE. Sincethe RE process is mainly decision- and community-driven,Recom-mender Systemsare supposed to be applied in this particular con-text to support stakeholders in decision-making and, hence, to in-crease the quality of the decisions taken by the stakeholders. Thispaper introduces a variety of innovative recommendation tools devel-oped within the scope of the European Horizon 2020 research projectOPENREQ. Moreover, we give an overview of user studies conductedto evaluate our approaches and present final results of selected stud-ies. The study results indicate that the developed concepts have thepotential to significantly improve the quality of requirements defini-tion and requirements prioritization.",

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Intelligent Recommendation & Decision Technologies for Community-Driven Requirements Engineering

Abstract

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ASJC Scopus subject areas

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