FLAMA: A Collaborative Effort to Build a New Framework for the Automated Analysis of Feature Models

José A. Galindo; José-Miguel Horcas; Alexander Felfernig; David Fernandez-Amoros; David Benavides

doi:10.1145/3579028.3609008

FLAMA: A Collaborative Effort to Build a New Framework for the Automated Analysis of Feature Models

José A. Galindo, José-Miguel Horcas, Alexander Felfernig, David Fernandez-Amoros, David Benavides

Institut für Softwaretechnologie (7160)

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

Abstract

Nowadays, feature models are the de facto standard when representing commonalities and variability, with modern examples spanning up to 7000 features. Manual analysis of such models is challenging and error-prone due to sheer size. To help in this task, automated analysis of feature models (AAFM) has emerged over the past three decades. However, the diversity of these tools and their supported languages presents a significant challenge that motivated the MOD-EVAR community to initiate a project for a new tool that supports the UVL language. Despite the rise of machine learning and data science, along with robust Python-based libraries, most AAFM tools have been implemented in Java, creating a collaboration gap. This paper introduces Flama, an innovative framework that automates the analysis of variability models. It focuses on UVL model analysis and aims for easy integration and extensibility to bridge this gap and foster better community and cross-community collaboration.

Originalsprache	englisch
Titel	SPLC '23: Proceedings of the 27th ACM International Systems and Software Product Line Conference
Redakteure/-innen	Paolo Arcaini, Maurice H. ter Beek, Gilles Perrouin, Iris Reinhartz-Berger, Ivan Machado, Silvia Regina Vergilio, Rick Rabiser, Tao Yue, Xavier Devroey, Monica Pinto, Hironori Washizaki
Erscheinungsort	New York, NY, USA
Herausgeber (Verlag)	Association of Computing Machinery
Seiten	16–19
Seitenumfang	4
Band	B2
ISBN (elektronisch)	9798400700927
ISBN (Print)	9798400700927
DOIs	https://doi.org/10.1145/3579028.3609008
Publikationsstatus	Veröffentlicht - 28 Aug. 2023
Veranstaltung	27th ACM International Systems and Software Product Line Conference: SPLC 2023 - National Institute of Informatics, Tokyo, Japan Dauer: 28 Aug. 2023 → 1 Sept. 2023 https://2023.splc.net/ https://2023.splc.net

Konferenz

Konferenz	27th ACM International Systems and Software Product Line Conference
Kurztitel	SPLC 2023
Land/Gebiet	Japan
Ort	Tokyo
Zeitraum	28/08/23 → 1/09/23
Internetadresse	https://2023.splc.net/ https://2023.splc.net

ASJC Scopus subject areas

Software
Human-computer interaction
Maschinelles Sehen und Mustererkennung
Computernetzwerke und -kommunikation

Zugriff auf Dokument

10.1145/3579028.3609008

Andere Dateien und Links

Verknüpfung zur Publikation in Scopus

Dieses zitieren

Galindo, J. A., Horcas, J.-M., Felfernig, A., Fernandez-Amoros, D., & Benavides, D. (2023). FLAMA: A Collaborative Effort to Build a New Framework for the Automated Analysis of Feature Models. in P. Arcaini, M. H. ter Beek, G. Perrouin, I. Reinhartz-Berger, I. Machado, S. R. Vergilio, R. Rabiser, T. Yue, X. Devroey, M. Pinto, & H. Washizaki (Hrsg.), SPLC '23: Proceedings of the 27th ACM International Systems and Software Product Line Conference (Band B2, S. 16–19). Association of Computing Machinery. https://doi.org/10.1145/3579028.3609008

FLAMA: A Collaborative Effort to Build a New Framework for the Automated Analysis of Feature Models. / Galindo, José A.; Horcas, José-Miguel; Felfernig, Alexander et al.
SPLC '23: Proceedings of the 27th ACM International Systems and Software Product Line Conference. Hrsg. / Paolo Arcaini; Maurice H. ter Beek; Gilles Perrouin; Iris Reinhartz-Berger; Ivan Machado; Silvia Regina Vergilio; Rick Rabiser; Tao Yue; Xavier Devroey; Monica Pinto; Hironori Washizaki. Band B2 New York, NY, USA: Association of Computing Machinery, 2023. S. 16–19.

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

Galindo, JA, Horcas, J-M, Felfernig, A, Fernandez-Amoros, D & Benavides, D 2023, FLAMA: A Collaborative Effort to Build a New Framework for the Automated Analysis of Feature Models. in P Arcaini, MH ter Beek, G Perrouin, I Reinhartz-Berger, I Machado, SR Vergilio, R Rabiser, T Yue, X Devroey, M Pinto & H Washizaki (Hrsg.), SPLC '23: Proceedings of the 27th ACM International Systems and Software Product Line Conference. Bd. B2, Association of Computing Machinery, New York, NY, USA, S. 16–19, 27th ACM International Systems and Software Product Line Conference, Tokyo, Japan, 28/08/23. https://doi.org/10.1145/3579028.3609008

Galindo JA, Horcas JM, Felfernig A, Fernandez-Amoros D, Benavides D. FLAMA: A Collaborative Effort to Build a New Framework for the Automated Analysis of Feature Models. in Arcaini P, ter Beek MH, Perrouin G, Reinhartz-Berger I, Machado I, Vergilio SR, Rabiser R, Yue T, Devroey X, Pinto M, Washizaki H, Hrsg., SPLC '23: Proceedings of the 27th ACM International Systems and Software Product Line Conference. Band B2. New York, NY, USA: Association of Computing Machinery. 2023. S. 16–19 doi: 10.1145/3579028.3609008

Galindo, José A. ; Horcas, José-Miguel ; Felfernig, Alexander et al. / FLAMA: A Collaborative Effort to Build a New Framework for the Automated Analysis of Feature Models. SPLC '23: Proceedings of the 27th ACM International Systems and Software Product Line Conference. Hrsg. / Paolo Arcaini ; Maurice H. ter Beek ; Gilles Perrouin ; Iris Reinhartz-Berger ; Ivan Machado ; Silvia Regina Vergilio ; Rick Rabiser ; Tao Yue ; Xavier Devroey ; Monica Pinto ; Hironori Washizaki. Band B2 New York, NY, USA : Association of Computing Machinery, 2023. S. 16–19

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FLAMA: A Collaborative Effort to Build a New Framework for the Automated Analysis of Feature Models

Abstract

Konferenz

ASJC Scopus subject areas

Zugriff auf Dokument

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