OpenReq: Recommender Systems in Requirements Engineering

Alexander Felfernig; Müslüm Atas; Martin Stettinger; Stefan Reiterer; Christina  Palomares; Andreas Falkner; Xavier  Franch

OpenReq: Recommender Systems in Requirements Engineering

Titel in Übersetzung: OpenReq: Recommender Systems in Requirements Engineering

Alexander Felfernig, Müslüm Atas, Martin Stettinger, Stefan Reiterer, Christina Palomares, Andreas Falkner, Xavier Franch

Institut für Softwaretechnologie (7160)

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

Abstract

The major focus of OpenReq is the development of recommendation
and decision technologies that effciently support requirements
engineering processes in large and distributed software projects.
Example scenarios thereof are the bid management in industrial
systems, requirements engineering in cross-platform open source
software development, and requirements management in large user
communities (telecommunications sector). The aim of this paper is
to provide an overview of OpenReq and to provide insights into
related application scenarios and research issues.

Titel in Übersetzung	OpenReq: Recommender Systems in Requirements Engineering
Originalsprache	englisch
Titel	CEUR Workshop Proceedings
Herausgeber (Verlag)	CEUR-WS
Seiten	1-4
Seitenumfang	4
Band	Volume 2025
Publikationsstatus	Veröffentlicht - 15 Okt. 2017
Veranstaltung	2017 International Conference on Knowledge Technologies and Data-Driven Business Workshop: IKNOW-WS 2017 - Graz, Österreich Dauer: 11 Okt. 2017 → 12 Okt. 2017

Konferenz

Konferenz	2017 International Conference on Knowledge Technologies and Data-Driven Business Workshop
Land/Gebiet	Österreich
Ort	Graz
Zeitraum	11/10/17 → 12/10/17

Dieses zitieren

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title = "OpenReq: Recommender Systems in Requirements Engineering",

abstract = "The major focus of OpenReq is the development of recommendationand decision technologies that effciently support requirementsengineering processes in large and distributed software projects.Example scenarios thereof are the bid management in industrialsystems, requirements engineering in cross-platform open sourcesoftware development, and requirements management in large usercommunities (telecommunications sector). The aim of this paper isto provide an overview of OpenReq and to provide insights intorelated application scenarios and research issues.",

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AU - Felfernig, Alexander

AU - Atas, Müslüm

AU - Stettinger, Martin

AU - Reiterer, Stefan

AU - Palomares, Christina

AU - Falkner, Andreas

AU - Franch, Xavier

PY - 2017/10/15

Y1 - 2017/10/15

N2 - The major focus of OpenReq is the development of recommendationand decision technologies that effciently support requirementsengineering processes in large and distributed software projects.Example scenarios thereof are the bid management in industrialsystems, requirements engineering in cross-platform open sourcesoftware development, and requirements management in large usercommunities (telecommunications sector). The aim of this paper isto provide an overview of OpenReq and to provide insights intorelated application scenarios and research issues.

AB - The major focus of OpenReq is the development of recommendationand decision technologies that effciently support requirementsengineering processes in large and distributed software projects.Example scenarios thereof are the bid management in industrialsystems, requirements engineering in cross-platform open sourcesoftware development, and requirements management in large usercommunities (telecommunications sector). The aim of this paper isto provide an overview of OpenReq and to provide insights intorelated application scenarios and research issues.

KW - Recommender Systems

KW - Requirements Engineering

M3 - Conference paper

VL - Volume 2025

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EP - 4

BT - CEUR Workshop Proceedings

PB - CEUR-WS

T2 - 2017 International Conference on Knowledge Technologies and Data-Driven Business Workshop

Y2 - 11 October 2017 through 12 October 2017

ER -

OpenReq: Recommender Systems in Requirements Engineering

Abstract

Konferenz

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