Automatic Domain Knowledge Extraction from Requirements Specification Text

Abstract

The automated generation of sequence of actions and schema extraction from requirements specification text written in natural language is really challenging and has limited explorations so far. It’s an attempt to automatically retrieving some useful elements from the requirements specification text, which is required for the software development process. This study proposes a system to simplify requirements analysis process and identify the interaction between the class objects using Natural Language Processing (NLP) techniques and crafted rules. The Automatic Domain Knowledge Extraction (ADKE) system does the step by step elicitation of classes, attributes, relationships, actors, relational schema, use cases and interaction between the classes. Finally deploys relational schema into the database, which allows user to acquire domain knowledge by applying queries and quick traceability link between the use cases. The experimental results of ADKE system are compared with other available tools and it gives better accuracy also.