iMER: Iterative Process of Entity Relationship and Business Proces Models Extraction from the Requirements
This addresses the need for software developers to efficiently understand system functionality and database design from requirements, though it appears incremental as it builds on existing NLP methods for a known task.
The paper tackles the problem of automatically extracting entity relationship and business process models from software requirement documents, presenting an approach based on natural language processing techniques that handles various formats like general requirements, use case specifications, and user stories.
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.