Checking consistency between an object diagram (OD) and a class diagram (CD) is an important analysis problem. However, several variations in the semantics of CDs and ODs, as used in different contexts and for different purposes, create a challenge for analysis tools. To address this challenge in this paper we investigate semantically configurable model analysis. We formalize the variability in the language's semantics using a feature model: each configuration that the model permits induces a different semantics. Moreover, we develop a parametrized analysis that can be instantiated to comply with every legal configuration of the feature model. Thus, the analysis is semantically configured and its results change according to the semantics induced by the selected feature configuration. The ideas are implemented using a parametrized transformation to Alloy. The work can be viewed as a case study example for a formal and automated approach to handling semantic variability in modeling languages. © 2011 Springer-Verlag.
CITATION STYLE
Maoz, S., Ringert, J. O., & Rumpe, B. (2011). Semantically configurable consistency analysis for class and object diagrams. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 6981 LNCS, pp. 153–167). https://doi.org/10.1007/978-3-642-24485-8_12
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