Uvl: Feature Modelling with the Universal Variability Language

38 Pages Posted: 19 Mar 2024

See all articles by David Benavides

David Benavides

University of Seville

Chico Sundermann

Ulm University

Kevin Feichtinger

Karlsruhe Institute of Technology

José A. Galindo

University of Seville

Rick Rabiser

Johannes Kepler University Linz

Thomas Thüm

University of Ulm

Abstract

Feature modelling is a cornerstone of software product line engineering, providing a means to represent software variability through features and their relationships. Since its inception in 1990, feature modelling has evolved through various extensions, and after three decades of development, there is a growing consensus on the need for a standardised feature modelling language. Despite multiple endeavours to standardise variability modelling and the creation of various textual languages, researchers and practitioners continue to use their own approaches, impeding effective model sharing. In 2018, a collaborative initiative was launched by a group of researchers to develop a novel textual language for representing feature models. This paper introduces the outcome of this effort: the Universal Variability Language (\UVL), which is designed to be human-readable and serves as a pivot language for diverse software engineering tools. The development of \UVL drew upon community feedback and leveraged established literature in the field of variability modelling. The language is structured into three levels --Boolean, Arithmetic, and Type-- and allows for language extensions to introduce additional constructs enhancing its expressiveness. \UVL is integrated into various existing software tools, such as FeatureIDE and FLAMA, and is maintained by a consortium of institutions.

Keywords: feature model, software product lines, variability

Suggested Citation

Benavides, David and Sundermann, Chico and Feichtinger, Kevin and Galindo, José A. and Rabiser, Rick and Thüm, Thomas, Uvl: Feature Modelling with the Universal Variability Language. Available at SSRN: https://ssrn.com/abstract=4764657 or http://dx.doi.org/10.2139/ssrn.4764657

David Benavides (Contact Author)

University of Seville ( email )

Avda. del Cid s/n
Sevilla, 41004
Spain

Chico Sundermann

Ulm University ( email )

Albert-Einstein-Alee 11
Ulm, D-89081
Germany

Kevin Feichtinger

Karlsruhe Institute of Technology ( email )

Kaiserstraße 12
Karlsruhe, 76131
Germany

José A. Galindo

University of Seville ( email )

Avda. del Cid s/n
Sevilla, 41004
Spain

Rick Rabiser

Johannes Kepler University Linz ( email )

Austria

Thomas Thüm

University of Ulm ( email )

Helmholtzstraße 22
Ulm, 89081
Germany

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