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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Sanz Rodríguez, J., Dodero, J. M., & Sanchez-Alonso, S. (2016). A preliminary analysis of software engineering metrics-based criteria for the evaluation of learning objects reusability. In Data Structure and Software Engineering: Challenges and Improvements (pp. 53–65). Apple Academic Press. https://doi.org/10.3991/ijet.v4s1.794
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