A Comprehensive Analysis of Requirement Engineering Utilizing Machine Learning Techniques

Abstract

In software projects requirements are element to understand the process and tasks. Requirement engineering is the process of eliction, analysis, documentation, validation and managing the process of the software requirements. Various investigations have been studied which used different techniques of ML techniques used to comprehend the requirement data and performance is measured with the use of parameters like accuracy, F-measure, recall and precision.

This paper surveys various classification and process of requirementsusing weighing methods and models with datasets. Using NLP and ML techniques to recognize the requirements is a very complicatedtask. According to dataset appropriate method has been chosen to extract the features and classification of data. Among different publishers IEEE papers contain the most appropriate papers. From the collection of research papers 36 papers have been selected for the review process which suited best in the field of requirement engineering classification using artificial intelligencetechniques. The accuracy to implement the usage of datasets and techniques varies from 75-92%