This paper presents the efficient way to obtain basic elements of a class diagram from natural language (NL) requirements. User provides the requirements in simple English in paragraph and the designed tool i.e. NLPC (Natural language Processing for Class) applies natural language processing (NLP) methods to analyze the given input. NL text is semantically analyzed to obtain classes, data members and member functions. NLPC helps to fill the gap between the informal natural language used to describe problems and the formal modeling languages used to specify software solutions. Input to this tool is clearly specified user requirement. With correct inputs, NLPC undergoes stages like Preprocessing, Part of Speech (POS) Tagging, Class Identification, Attribute and Function identification and then plotting the classes.
The Natural Language Processing for Class (NLPC) can extract classes, data members and member functions from the given user requirements REF .
Processing Natural Language Requirement to Extract Basic Elements of a Class
International Journal of Applied Information Systems
Computer Science