Concept analysis for product line requirements
Proceedings of the 8th ACM international conference on Aspect-oriented software development
Does Requirements Clustering Lead to Modular Design?
REFSQ '09 Proceedings of the 15th International Working Conference on Requirements Engineering: Foundation for Software Quality
Proceedings of the 13th International Software Product Line Conference
On-demand feature recommendations derived from mining public product descriptions
Proceedings of the 33rd International Conference on Software Engineering
Reverse engineering feature models
Proceedings of the 33rd International Conference on Software Engineering
Recommending source code for use in rapid software prototypes
Proceedings of the 34th International Conference on Software Engineering
Usage scenarios for feature model synthesis
Proceedings of the VARiability for You Workshop: Variability Modeling Made Useful for Everyone
Mining commonalities and variabilities from natural language documents
Proceedings of the 17th International Software Product Line Conference
Mining and recommending software features across multiple web repositories
Proceedings of the 5th Asia-Pacific Symposium on Internetware
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We propose an on-demand clustering framework for analyzing the functional requirements in a product line. Our approach is novel in that the objects to be clustered capture the domain's action themes at a primitive level, and the essential attributes are uncovered via semantic analysis. We provide automatic support to complement domain analysis by quickly identifying important entities and functionalities. A second contribution is our recognition of stakeholders' different goals in cluster analysis, e.g., feature identification for users versus system decomposition for designers. We thus advance the literature by examining requirements clusters that overlap and those causing a minimal information loss, and by facilitating the discovery of product line variabilities. A proof-of-concept example is presented to show the applicability and usefulness of our approach.