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.