Anzeige
Erschienen in:
2011 | OriginalPaper | Buchkapitel
Towards Modeling Data Variability in Software Product Lines
verfasst von : Lamia Abo Zaid, Olga De Troyer
Erschienen in: Enterprise, Business-Process and Information Systems Modeling
Verlag: Springer Berlin Heidelberg
Aktivieren Sie unsere intelligente Suche, um passende Fachinhalte oder Patente zu finden.
Wählen Sie Textabschnitte aus um mit Künstlicher Intelligenz passenden Patente zu finden. powered by
Markieren Sie Textabschnitte, um KI-gestützt weitere passende Inhalte zu finden. powered by
In this paper, we provide an approach for modeling data variability as part of the overall software product line modeling approach. Modeling data variability in software product lines allows tailoring the data to the variability of a product. For this purpose, we have extended our Feature Assembly Modeling technique with the concept of
persistency feature
. We explain how these persistency features can be used to express the data variability, how they can be created and how they relate to the other features of the software product line. We also show how to derive a so-called
variable data model
from these persistency features and how an actual data model for a product of the product line can be derived. Additionally, annotations provide traceability between the variability of the features and the variability in the data model.