Code smells are issues in code that can cause problems and lower software quality. Detecting these code smells is hard because their definitions are unclear and subjective. Many current methods for finding code smells only look at certain aspects of the code. This paper identifies five key properties that can help detect code smells more accurately. By using these properties, software engineers can better analyze and automate the detection of code smells, improving the overall quality of software.