The article discusses a method to automatically classify software requirements written in Arabic into functional and non-functional categories using machine learning. This approach aims to save time and reduce costs associated with manual classification, ultimately improving the effectiveness of software development. The researchers found that there is a lack of research in Arabic requirements classification and a shortage of accessible Arabic datasets in this field. By utilizing machine learning techniques, they hope to provide a new way for software developers to streamline the requirements engineering process.