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v2.8

Feature models used in the paper "Conflict-Guided Data Synthesis for Diagnosis Space Learning"

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2. Feature models used in the paper "Conflict-Guided Data Synthesis for Diagnosis Space Learning"
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Feature models used in the paper "Conflict-Guided Data Synthesis for Diagnosis Space Learning"

Journal Article

Dec 06, 2024 · 7 models · 531.4 KB

Authors

Viet-Man Le

Institute of Software Technology, Graz University of Technology, Graz, Austria

Mathias Uta

Siemens Energy AG, Erlangen, Germany

Thi Ngoc Trang Tran

Institute of Software Technology, Graz University of Technology, Graz, Austria

Alexander Felfernig

Institute of Software Technology, Graz University of Technology, Graz, Austria

Description

Feature models used in the paper "Conflict-Guided Data Synthesis for Diagnosis Space Learning"

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Tags

data synthesis conflict diagnosis diagnosis space learning

Identifier

DOI /doi/10.5281/zenodo.14288417

http://www.uvlhub.io/doi/10.5281/zenodo.14288417

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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