UVengine is a universal variability resolution engine for UVL models and text-based artifacts with Jinja templates.

Try it online ⚙️ View it on GitHub 

Overview

Inputs and outputs of UVengine.

Features

• A variability resolution engine for UVL models.
• Support all language level extensions of UVL.
• Feature traceability between UVL models and implementation artifacts.
• Language independence for any text-based artifacts using Jinja templates.
• Composition and annotation-based mechanisms to implement variability at different degrees of granularity.
• Easy integration with existing tools of the UVL ecosystem such as UVLS and flamapy.

Publications using the UVengine approach

• José Miguel Horcas, Mercedes Amor, Lidia Fuentes. The Kubernetes variability model. 19th International Working Conference on Variability Modelling of Software-Intensive Systems (VaMoS). 2025. DOI: https://doi.org/10.1145/3715340.3715440

• David Romero Organvidez, José Miguel Horcas, José A. Galindo, David Benavides. Data visualization guidance using a software product line approach. Journal of Systems and Software (JSS). 2024. DOI: https://doi.org/10.1016/j.jss.2024.112029

• David Romero Organvidez, David Benavides, José Miguel Horcas, María Teresa Gómez López. Variability in data transformation: towards data migration product lines. 18th International Working Conference on Variability Modelling of Software-Intensive Systems (VaMoS). 2024. DOI: https://doi.org/10.1145/3634713.3634724

• José Miguel Horcas, José A. Galindo, David Benavides. Variability in data visualization: a software product line approach. 26th ACM International Systems and Software Product Line Conference (SPLC). 2022. DOI: https://doi.org/10.1145/3546932.3546993

Entities involved