Classification of Arabic Software Requirements Using Machine Learning Techniques

Ambiguity is a crucial problem in Software Requirements Specification (SRS) documents since most SRS documents are written in natural language, which is generally ambiguous. A variety of strategies have been employed to detect ambiguity in SRS papers. This paper will present techniques to classify Arabic language requirements through machine learning techniques. The proposed framework could help streamline the classification process for software development in Arabic-speaking countries by automating tasks and reducing the time taken.