Requirement Elicitation using Natural Language Processing

Abstract

This paper is the outcome of the research conducted to investigate the affective requirement engineering techniques proposed and used for developing software projects. We have assessed traditional methods and proposed an approach that covers various aspects for generating a successful project. An NLP-based model is designed that takes input from the user and gives the output in the form of a text document after processing it. We have set a 62% similarity index to achieve the maximum requirements of the required system. These requirements, in return, help the developers to develop the product with more functionality and productivity.