ACM SIGSOFT Software Engineering Notes
Automatic detection of feature interactions using the Java modeling language: an experience report
Proceedings of the 15th International Software Product Line Conference, Volume 2
Proceedings of the 2011 ACM international conference on Object oriented programming systems languages and applications
Applying design by contract to feature-oriented programming
FASE'12 Proceedings of the 15th international conference on Fundamental Approaches to Software Engineering
A transformational proof system for delta-oriented programming
Proceedings of the 16th International Software Product Line Conference - Volume 2
Family-based deductive verification of software product lines
Proceedings of the 11th International Conference on Generative Programming and Component Engineering
A liskov principle for delta-oriented programming
ISoLA'12 Proceedings of the 5th international conference on Leveraging Applications of Formal Methods, Verification and Validation: technologies for mastering change - Volume Part I
Assume-guarantee testing of evolving software product line architectures
SERENE'12 Proceedings of the 4th international conference on Software Engineering for Resilient Systems
Feature-oriented software evolution
Proceedings of the Seventh International Workshop on Variability Modelling of Software-intensive Systems
Subclack: feature-oriented programming with behavioral feature interfaces
Proceedings of the 5th Workshop on MechAnisms for SPEcialization, Generalization and inHerItance
Feature-interaction detection based on feature-based specifications
Computer Networks: The International Journal of Computer and Telecommunications Networking
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Software product line engineering aims at the efficient development of program variants that share a common set of features and that differ in other features. Product lines can be efficiently developed using feature-oriented programming. Given a feature selection and the code artifacts for each feature, program variants can be generated automatically. The quality of the program variants can be rigorously ensured by formal verification. However, verification of all program variants can be expensive and include redundant verification tasks. We introduce a classification of existing software product line verification approaches and propose proof composition as a novel approach. Proof composition generates correctness proofs of each program variant based on partial proofs of each feature. We present a case study to evaluate proof composition and demonstrate that it reduces the effort for verification.