THE SOFTWARE FOR INVESTIGATING COMPLETE NORMAL FORMS

This article discusses the study of Complete Normal Forms (PDNF) and Complex Normal Forms (PCNF) and the software developed for their investigation. The main objective of the research is to propose theoretical and practical solutions to simplify the data normalization processes in information databases and optimize data structure. The properties of PDNF and PCNF are expressed in detail through tables and formulas. A sample software implementation written in Python is provided, along with results and the corresponding code. Through this software, users can automatically identify normal forms and make the process of working with them more efficient. This work demonstrates opportunities for organizing data structures, eliminating redundant data, and improving data consistency in database design.