This work aims to investigate the effects of code smells on several iterations of three projects: ant, oryx, and mct. The projects and their many iterations are included in the data collection that we have utilized. Robusta is the technique used to identify code smells. This program was used to record the values of the various sorts of code smell that were found in every project version. The Jhawk tool is used to obtain various design metrics' values. Ultimately, we were able to determine the relative criticality of code smells on each project version by comparing the values of the detected smells with metrics