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http://hdl.handle.net/2183/36318 Local features: Enhancing variability modeling in software product lines
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de Castro, D., Cortiñas, A., Luaces, M. R., Pedreira, O., & Places, Á. S. (2024). Local features: Enhancing variability modeling in software product lines. Journal of Systems and Software, Vol. 213, 2024, 112035, ISSN 0164-1212, https://doi.org/10.1016/j.jss.2024.112035.
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Abstract
[Abstract]: Context and motivation: Software Product Lines (SPL) enable the creation of software product families with shared core components using feature models to model variability. Choosing features from a feature model to generate a product may not be sufficient in certain situations because the application engineer may need to be able to decide on configuration time the system’s elements to which a certain feature will be applied. Therefore, there is a need to select which features have to be included in the product but also to which of its elements they have to be applied.
Objective:
We introduce local features that are selectively applied to specific parts of the system during product configuration.
Results:
We formalize local features using multimodels to establish relationships between local features and other elements of the system models. The paper includes examples illustrating the motivation for local features, a formal definition, and a domain-specific language for specification and implementation. Finally, we present a case study in a real scenario that shows how the concept of local features allowed us to define the variability of a complex system. The examples and the application case show that the proposal achieves higher customization levels at the application engineering phase.
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Atribución-NoComercial-SinDerivadas 4.0 Internacional
© 2024 The Authors
© 2024 The Authors








