Feature-Based Product Line Instantiation Using Source-Level Packages
SPLC 2 Proceedings of the Second International Conference on Software Product Lines
Feature-driven requirement dependency analysis and high-level software design
Requirements Engineering
SPLC '06 Proceedings of the 10th International on Software Product Line Conference
Ontology-Based feature modeling and application-oriented tailoring
ICSR'06 Proceedings of the 9th international conference on Reuse of Off-the-Shelf Components
Feature-Driven and Incremental Variability Generalization in Software Product Line
ICSR '09 Proceedings of the 11th International Conference on Software Reuse: Formal Foundations of Reuse and Domain Engineering
Towards feature-oriented variability reconfiguration in dynamic software product lines
ICSR'11 Proceedings of the 12th international conference on Top productivity through software reuse
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Although there has been significant research spent on feature modeling and application-oriented customization and some effective methods have been proposed, product derivation in SPL (Software Product Line) development is still a time- and effort-consuming activity due to the complicated mapping between feature model and program implementation. In this paper, we propose a feature implementation modeling based method for product derivation. In the method, feature implementation model is introduced as the intermediate level between feature model and program implementation. The feature implementation model captures feature interactions (including cross-cutting interactions) in the finer role level, and help to clarify the complex mapping between feature and program implementation. So, feature-driven program-level customization and configuration can be enabled by the model and role instantiation. AOP (Aspect-Oriented Programming) is adopted as the implementation technology for product derivation on the program level. Then program-level composition can be implemented by aspect weaving to finally achieve the feature-driven product derivation.