Communications of the ACM
FORM: A feature-oriented reuse method with domain-specific reference architectures
Annals of Software Engineering
Foundations of AOP for J2EE Development (Foundation)
Foundations of AOP for J2EE Development (Foundation)
Feature oriented refactoring of legacy applications
Proceedings of the 28th international conference on Software engineering
Feature refactoring a multi-representation program into a product line
Proceedings of the 5th international conference on Generative programming and component engineering
Proceedings of the 5th international conference on Generative programming and component engineering
Feature Implementation Modeling Based Product Derivation in Software Product Line
ICSR '08 Proceedings of the 10th international conference on Software Reuse: High Confidence Software Reuse in Large Systems
Reasoning about edits to feature models
ICSE '09 Proceedings of the 31st International Conference on Software Engineering
Feature models, grammars, and propositional formulas
SPLC'05 Proceedings of the 9th international conference on Software Product Lines
Extracting and evolving mobile games product lines
SPLC'05 Proceedings of the 9th international conference on Software Product Lines
Ontology-Based feature modeling and application-oriented tailoring
ICSR'06 Proceedings of the 9th international conference on Reuse of Off-the-Shelf Components
Eliminating the adoption barrier
IEEE Software
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In the lifecycle of a software product line (SPL), incremental generalization is usually required to extend the variability of existing core assets to support the new or changed application requirements. In addition, the generalization should conform to the evolved SPL requirements which are usually represented by a feature model. In this paper, we propose a feature-driven and incremental variability generalization method based on the aspect-oriented variability implementation techniques. It addresses a set of basic scenarios where program-level JBoss-AOP based reference implementations respond to the feature-level variability generalization patterns. It also provides the corresponding guidance to compose these patterns in more complex cases. Based on the method, we present a case study and related discussions.