Restaurant domain

Conference Paper

Oct 09, 2025 · 53 models · 75.29 KB

Authors

José Miguel Horcas

Universidad de Málaga

Mónica Pinto

Universidad de Málaga

Lidia Fuentes

Universidad de Málaga

Description

A unique dataset comprising 53 feature models focused on the restaurant business domain.

These models were manually synthesized and engineered to leverage the full expressiveness of the Universal Variability Language (UVL), including all language constructs in major and minor levels of UVL.

Origin: The models are based on an extensive analysis of 30 catalogs and brochures from 11 different real-world, operational restaurant businesses (including burger shops, pizzerias, and fast-food services), ensuring a faithful representation of real-world variability.

Tags

restaurants brochures catalogs fast-food burger pizzeria pizza

Identifier

DOI /doi/10.5281/zenodo.17302643

Actions

1.14 KB

Open with

features
    "Dessert Bausatz"
        mandatory
            Base {abstract}
                alternative
                    Waffle {Price 4.30, Allergen {Gluten, Egg, Soy}}
                    Cheesecake {Price 4.30, Allergen {Gluten, Soy, Lactose, Nuts}}
                    "Apple Cake" {Price 4.30, Allergen {Gluten, Egg, Lactose, Nuts}}
            Toppings cardinality [2..10] {abstract, Price 0.90}
                alternative
                    "Powdered sugar"
                    "Sugar sprinkles"
                    "Coconut" {Allergen {Sulphites}}
                    "Whipped cream" {Allergen {Lactose}}
                    "Dark chocolate sauce"
                    "White chocolate sauce" {Allergen {Lactose, Soy}} 
                    "Strawberry sauce"
                    Cinnamon
                    "Chocolate sprinkles"
                    "Almond slivers" {Allergen {Nuts}}
                    Pineapple
                    "Dried Banana"
                    "Compote of semolina"
                    Applesauce
                    "Vanilla sauce" {Allergen {Lactose}}
constraints
    "Dessert Bausatz".Price == sum(Price, "Dessert Bausatz") - 2.00

Open with

@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

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Restaurant domain

Restaurant domain