It includes ten mandatory features and one optional feature.
The main objective is to apply software product lines to the desing of drone propellers. In the configurator various features can be selected and, after the constraints are satisfied, a valid configuration is generated in a .py file that can be imported to Autodesk Fusion 360 and the drone propeller modelling is made automatically.
@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
