Abstract
Evalu@ is a software development created under the model-view-controller pattern and is meant to be executed in a client-server architecture. It is benefited from the worldwide coverage of the Internet and acts as an evaluating gadget and a data centralizer. Evalu@ is initially conceived as a solution to the lack of assistant tools while running the quality programs in industrial environments. Later, due to its high degree of generalization in the setup of evaluations schemes, the software was successfully flavored to suit the willingness of entrepreneurs in other fields. Recently, some Machine Learning features have been added and are being tested to close the monitoring cycle by not only keeping track of the evaluation items chronologically; but also being capable of classifying and predicting outcomes based on previously gathered data.
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Yepes-Calderon, F., Yepes Zuluaga, J.F., Yepes Calderon, G.E. (2019). Evalu@: An Agnostic Web-Based Tool for Consistent and Constant Evaluation Used as a Data Gatherer for Artificial Intelligence Implementations. In: Florez, H., Leon, M., Diaz-Nafria, J., Belli, S. (eds) Applied Informatics. ICAI 2019. Communications in Computer and Information Science, vol 1051. Springer, Cham. https://doi.org/10.1007/978-3-030-32475-9_6
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