A computational architecture to support conceptual data model reuse by analogy

Reuse within requirements specification has attracted great interest in recent years. Analogical retrieval is proposed as a way of reusing requirements specifications from different application domains. The paper presents a computational architecture to support analogical reuse in conceptual data modelling. The architecture synthesises analogical retrieval theories and results from empirical studies. It is suggested that reusing previous models in a CASE tool repository would greatly improve the functionality of CASE tools.<
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