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.
The UVL model includes ten mandatory features and one optional feature.
@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
