Sobernig, Stefan. 2021. v1e: A Kernel for Domain-specific Textual Variability Modelling Languages. In Proc. 15th International Working Conference on Variability Modelling of Software-Intensive Systems, Hrsg. Paul Grünbacher and Christoph Seidl and Deepak Dhungana and Helena Lovasz-Bukvova, 1-7. Online: None.

RIS

@INPROCEEDINGS{Sobernig2021,
title = {v1e: A Kernel for Domain-specific Textual Variability Modelling Languages},
author = {Stefan Sobernig},
publisher = {None},
year = {2021},
address = {Online},
url = {https://dl.acm.org/doi/10.1145/3442391.3442396},
language = {EN},
pages = {1-7},
series = {Proc. 15th International Working Conference on Variability Modelling of Software-Intensive Systems},
abstract = {v1e is a language kernel for textual variability modelling built on top of the language-development system DjDSL. As a language kernel, v1e provides a minimal but extensible set of abstractions to implement language families for textual variability modelling. v1e provides for a small and versatile abstract syntax to encode variability models using multiplicity constraints and canonical semantics. v1e offers built-in analysis support via BDDs, such as configuration validation. A derived language becomes realised as a collection of extensions dependent on the language kernel. We showcase the design and implementation of a v1e-based implementation of TVL. We conclude the paper by pointing out current limitations (e.g., representing attributed variability models) and future directions (e.g., analysis support beyond BDD).},
}