iMER: Iterative Process of Entity Relationship and Business Proces Models Extraction from the Requirements

TL;DR

This paper introduces an automated method using natural language processing to extract entity relationship and business process models from various software requirement documents, aiding software development.

Contribution

It presents a novel automated approach for extracting conceptual models from diverse requirement formats using NLP techniques.

Findings

Effective extraction from different requirement formats

Improved understanding of system functionality

Facilitates database and process design

Abstract

Extracting conceptual models, e.g., entity relationship model or Business Process model, from software requirement document is an essential task in the software development life cycle. Business process model presents a clear picture of required system functionality. Operations in business process model together with the data entity consumed, help the software developers to understand the database design and operations to be implemented. Researchers have been aiming at automatic extraction of these artefacts from the requirement document. In this paper, we present an automated approach to extract the entity relationship and business process models from requirements, which are possibly in different formats such as general requirements, use case specification and user stories. Our approach is based on the efficient natural language processing techniques.