Work

Restaurant domain

Year: 2025

Type: conference-paper

Abstract: 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.

Source: Zenodo (CERN European Organization for Nuclear Research)

DOI: 10.5281/zenodo.17302642

Authors: José Miguel Horcas, Mónica Pinto, Lidia Fuentes

Institution: Universidad de Málaga

Language: English

Topic: Advanced Software Engineering Methodologies

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: green

OpenAlex ID: W7086924232

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