This bachelor thesis aims to design, analyze, and implement a module for automatically detecting, storing, and querying attribute changes in database entities as part of the InQool Framework (IQF). The goal is to reduce boilerplate code, minimize human errors in change tracking, and improve development efficiency while ensuring configurability for various projects. To achieve this, the student will evaluate existing libraries and approaches for entity change tracking, comparing them based on ease of use, performance, flexibility, and compatibility with the company’s technology stack. Based on this analysis, a tailored solution will be proposed and implemented in Java using the Spring Boot framework. This work is conducted in cooperation with InQool, a.s., an industrial partner of the Faculty of Informatics.