SEJan 23, 2016

Multiset Theories of Cardinality-based Feature Diagrams

arXiv:1601.06242v1
Originality Incremental advance
AI Analysis

This work addresses a specific issue in software engineering for product line design, offering an incremental improvement in semantic modeling.

The paper tackles the problem of poor abstract semantics in cardinality-based feature diagrams for software product lines by proposing a hierarchical multiset theory, showing it captures all diagram information and can retrieve the diagram from its semantics.

Software product line engineering is a very common method for designing complex software systems. Feature modeling is the most common approach to specify product lines. The main part of a feature model is a special tree of features called a feature diagram. Cardinality-based feature diagrams provide the most expressive tool among the current feature diagram languages. The most common characterization of the semantics of a cardinality-based diagram is the set of flat multisets over features satisfying the constraints. However, this semantics provides a poor abstract view of the diagram. We address this problem by proposing another multiset theory for the cardinality-based feature diagram, called the hierarchical theory of the diagram. We show that this semantics captures all information of the diagram so that one can retrieve the diagram from its hierarchical semantics. We also characterize sets of multisets, which can provide a hierarchical semantics of some diagrams.

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