Automation requirements engineering using machine learning

Abstract

Machine learning algorithms help to automate the process in many di erent problem domains. In the eld of Software engineering. Requirement engineering is one of the rst stages of software development. This research aims to automate the process of requirements engineering by integrating machine-learning algorithms, which should reduce the development cost and the possibility of human errors in several stages of the software engineering process. The thesis requires extensive machine learning algorithms to identify the best-suited technologies in the software engineering arena. Finally, we will identify some evaluation matrix to identify the e ectiveness of our proposed algorithms for real-life software requirements speci cation.