Generate use case from the requirements written in a natural language using machine learning


Recently it has become important to focus on the requirements of the system and how to take them and analyze them to determine the system infrastructure through which they will be relied upon in the rest of the system building. Some difficulties have been encountered in the process of understanding and analyzing the data taken from the user to convert it to UML diagrams. In this paper, we create a new approach that focuses mainly on increasing accuracy for this technique, reducing time in the systems of generating the use case of text written in natural language and finding solutions to some problems in current technologies because people need a smart and accurate system to meet their needs and save their time and increase the reliability of the reliance on software.



Software And Hardware

Textual Question Answering for Semantic Parsing in Natural Language Processing