Representation of Knowledge from Software Requirements Expressed in Natural Language

Abstract

Software Requirements modeling is important for requirement understanding especially when they are expressed in Natural Language such as English, which is universally understood. Expressing requirement is such a way is natural and known to stakeholders. However, they are prone to ambiguity and poor understandability. This paper demonstrate how we can model software requirement expressed in natural language and represent them with a simple graph based structure using techniques of Natural Language Processing (NLP), this helps in understanding and correct interpretation of requirements. It can also represents knowledge about the requirement, which can be used to derive test case in early development phase.