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v2.2.8

Generalized Feature Trees (GFTs)

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2. Generalized Feature Trees (GFTs)

Journal Article

October 02, 2025 at 09:03 AM

• José Miguel Horcas Universidad de Málaga
• Joaquín Ballesteros Universidad de Málaga
• Mónica Pinto Universidad de Málaga
• Lidia Fuentes Universidad de Málaga

This dataset contains Generalized Feature Trees (GFTs) for several well-known feature models. A GFT is a representation of a feature model where all cross-tree constraints have been integrated directly into the feature tree structure itself, maintaining the semantics of the feature model (i.e., maintaining the same set of products). This refactoring eliminates explicit cross-tree constraints, allowing a feature to appear multiple times within the tree (in exclusive branches) to represent different valid configurations.

Generalized Feature Tree GFT constraint refactoring cross-tree constraint sans-constraints FMSans

View Zenodo publication View associated publication

DOI /doi/10.5281/zenodo.17252231

http://www.uvlhub.io/doi/10.5281/zenodo.17252231

Download dataset (3.68 MB)

Name	Size	Actions
Truck_gft.uvl	21.98 KB	Export UVL Glencoe DIMACS SPLOT View
GPL_excerpt_gft.uvl	3.71 KB	Export UVL Glencoe DIMACS SPLOT View
Akesson2019b_gft.uvl	11.69 KB	Export UVL Glencoe DIMACS SPLOT View
BerkeleyDB_gft.uvl	1.45 MB	Export UVL Glencoe DIMACS SPLOT View
Oh2019_gft.uvl	14.58 KB	Export UVL Glencoe DIMACS SPLOT View
WeaFQAs_gft.uvl	643.83 KB	Export UVL Glencoe DIMACS SPLOT View
TankWar_gft.uvl	820 bytes	Export UVL Glencoe DIMACS SPLOT View
JHipster_gft.uvl	74.73 KB	Export UVL Glencoe DIMACS SPLOT View
axTLS_gft.uvl	1.28 MB	Export UVL Glencoe DIMACS SPLOT View
MobileMedia_gft.uvl	8.16 KB	Export UVL Glencoe DIMACS SPLOT View
Horcas2022b_gft.uvl	200.56 KB	Export UVL Glencoe DIMACS SPLOT View
Pizzas_complex_gft.uvl	3.64 KB	Export UVL Glencoe DIMACS SPLOT View

2025© University of Seville · University of Malaga · University of Ulm

•  Repository on GitHub

@article{romero2024_uvlhub_open_science,
    title = {UVLHub: A feature model data repository using UVL and open science principles},
    journal = {Journal of Systems and Software},
    pages = {112150},
    year = {2024},
    issn = {0164-1212},
    doi = {https://doi.org/10.1016/j.jss.2024.112150},
    url = {https://www.sciencedirect.com/science/article/pii/S016412122400195X},
    author = {David Romero-Organvidez and José A. Galindo and Chico Sundermann and Jose-Miguel Horcas and David Benavides},
    keywords = {Feature models, Software product line, Variability, Dataset, Uvl}
}

TY  - JOUR
T1  - UVLHub: A feature model data repository using UVL and open science principles
AU  - Romero-Organvidez, David
AU  - Galindo, José A.
AU  - Sundermann, Chico
AU  - Horcas, Jose-Miguel
AU  - Benavides, David
JO  - Journal of Systems and Software
SP  - 112150
PY  - 2024
DA  - 2024/07/01/
SN  - 0164-1212
DO  - https://doi.org/10.1016/j.jss.2024.112150
UR  - https://www.sciencedirect.com/science/article/pii/S016412122400195X
KW  - Feature models
KW  - Software product line
KW  - Variability
KW  - Dataset
KW  - Uvl

David Romero-Organvidez, José A. Galindo, Chico Sundermann, Jose-Miguel Horcas, David Benavides,
UVLHub: A feature model data repository using UVL and open science principles,
Journal of Systems and Software,
2024,
112150,
ISSN 0164-1212,
https://doi.org/10.1016/j.jss.2024.112150.
(https://www.sciencedirect.com/science/article/pii/S016412122400195X)
Keywords: Feature models; Software product line; Variability; Dataset; Uvl

Romero-Organvidez, D., Galindo, J. A., Sundermann, C., Horcas, J.-M., & Benavides, D. (2024). UVLHub: A feature model data repository using UVL and open science principles. Journal of Systems and Software, 2024, 112150. https://doi.org/10.1016/j.jss.2024.112150

@article{benavides2024uvl,
    title = {UVL: Feature modelling with the Universal Variability Language},
    journal = {Journal of Systems and Software},
    volume = {225},
    pages = {112326},
    year = {2025},
    issn = {0164-1212},
    doi = {https://doi.org/10.1016/j.jss.2024.112326},
    url = {https://www.sciencedirect.com/science/article/pii/S0164121224003704},
    author = {David Benavides and Chico Sundermann and Kevin Feichtinger and José A. Galindo and Rick Rabiser and Thomas Thüm},
    keywords = {Feature model, Software product lines, Variability},
}      

TY  - JOUR
T1  - UVL: Feature modelling with the Universal Variability Language
AU  - Benavides, David
AU  - Sundermann, Chico
AU  - Feichtinger, Kevin
AU  - Galindo, José A.
AU  - Rabiser, Rick
AU  - Thüm, Thomas
JO  - Journal of Systems and Software
VL  - 225
SP  - 112326
PY  - 2025
DA  - 2025/07/01/
SN  - 0164-1212
DO  - https://doi.org/10.1016/j.jss.2024.112326
UR  - https://www.sciencedirect.com/science/article/pii/S0164121224003704
KW  - Feature model
KW  - Software product lines
KW  - Variability

David Benavides, Chico Sundermann, Kevin Feichtinger, José A. Galindo, Rick Rabiser, Thomas Thüm,
UVL: Feature modelling with the Universal Variability Language,
Journal of Systems and Software,
Volume 225,
2025,
112326,
ISSN 0164-1212,
https://doi.org/10.1016/j.jss.2024.112326.
(https://www.sciencedirect.com/science/article/pii/S0164121224003704)
Keywords: Feature model; Software product lines; Variability

Benavides, D., Sundermann, C., Feichtinger, K., Galindo, J. A., Rabiser, R., & Thüm, T. (2025). UVL: Feature modelling with the Universal Variability Language. Journal of Systems and Software, 225, 112326. https://doi.org/10.1016/j.jss.2024.112326