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A Preliminary Analysis of Software Engineering Metrics-based Criteria for the Evaluation of Learning Objects Reusability

DOI: 10.3991/ijet.v4i0.794

Keywords: learning , objects , metadata , reusability

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Abstract:

Reusability of learning objects is evaluated on the basis of a priori software reusability analysis, which are related to cohesion and coupling aspects. A number of reusability metrics extracted from metadata records are defined and analyzed to provide an aggregate reusability evaluation for learning objects in a repository. The evaluation is validated and compared with an expert-based a posteriori evaluation method

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