CdbNorm: An Efficient Library for Automatic Database Normalization

Abstract: This study introduces CdbNorm, a library that provides efficient implementations of the first three normal forms of relational database normalization. CdbNorm makes it quick and straightforward for a data analyst to divide a large dataset into smaller tables free from database anomalies (insert, update, and delete) and duplicate data. This study describes each of the steps of our normalization algorithm, which includes the discovery of functional dependencies and the population of output normalized datasets. We evaluate the accuracy and efficiency of our algorithm with databases introduced in prior papers and with large datasets available online.

Ivan Piza-Davila, Fernando Gutierrez-Preciado, Victor Ortega-Guzman and Mildreth Alcaraz-Mejia. “CdbNorm: An Efficient Library for Automatic Database Normalization”. International Journal of Advanced Computer Science and Applications (IJACSA) 17.3 (2026). http://dx.doi.org/10.14569/IJACSA.2026.0170311

@article{Piza-Davila2026,
title = {CdbNorm: An Efficient Library for Automatic Database Normalization},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2026.0170311},
url = {http://dx.doi.org/10.14569/IJACSA.2026.0170311},
year = {2026},
publisher = {The Science and Information Organization},
volume = {17},
number = {3},
author = {Ivan Piza-Davila and Fernando Gutierrez-Preciado and Victor Ortega-Guzman and Mildreth Alcaraz-Mejia}
}