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

Institute of Software Technology (7160)

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

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.

Original language	English
Title of host publication	SPLC '23: Proceedings of the 27th ACM International Systems and Software Product Line Conference
Editors	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
Place of Publication	New York, NY, USA
Publisher	Association of Computing Machinery
Pages	16–19
Number of pages	4
Volume	B2
ISBN (Electronic)	9798400700927
ISBN (Print)	9798400700927
DOIs	https://doi.org/10.1145/3579028.3609008
Publication status	Published - 28 Aug 2023
Event	27th ACM International Systems and Software Product Line Conference: SPLC 2023 - National Institute of Informatics, Tokyo, Japan Duration: 28 Aug 2023 → 1 Sept 2023 https://2023.splc.net/ https://2023.splc.net

Conference

Conference	27th ACM International Systems and Software Product Line Conference
Abbreviated title	SPLC '23
Country/Territory	Japan
City	Tokyo
Period	28/08/23 → 1/09/23
Internet address	https://2023.splc.net/ https://2023.splc.net

Keywords

data visualization
variability
visualization design process
effective communication
graphs and tables
software product line

ASJC Scopus subject areas

Software
Human-Computer Interaction
Computer Vision and Pattern Recognition
Computer Networks and Communications

Access to Document

10.1145/3579028.3609008

Cite this

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 (Eds.), SPLC '23: Proceedings of the 27th ACM International Systems and Software Product Line Conference (Vol. B2, pp. 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. ed. / 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. Vol. B2 New York, NY, USA: Association of Computing Machinery, 2023. p. 16–19.

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

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 (eds), SPLC '23: Proceedings of the 27th ACM International Systems and Software Product Line Conference. vol. B2, Association of Computing Machinery, New York, NY, USA, pp. 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, editors, SPLC '23: Proceedings of the 27th ACM International Systems and Software Product Line Conference. Vol. B2. New York, NY, USA: Association of Computing Machinery. 2023. p. 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. editor / 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. Vol. B2 New York, NY, USA : Association of Computing Machinery, 2023. pp. 16–19

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

Abstract

Conference

Keywords

ASJC Scopus subject areas

Access to Document

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