Processing Natural Language Requirements

Natural Language Processing of Textual Requirements

Natural language processing (NLP) is the application of automated parsing and machine learning techniques to analyze standard text. Applications of NLP to requirements engineering include extraction of ontologies from a requirements specification, and use of NLP to verify the consistency and/or completion of a requirements specification. This work-in-progress paper describes a new approach to t...

The role of natural language in requirements engineering

It is argued that the potential role of natural language processing in the requirements engineering process has been overstated in the past, possibly due to fundamental misunderstandings of the requirements engineering process itself. Since more realistic ambitions are likely to lead to less disappointment in the future, an effort is made to identify some phases and tasks where natural language...

Contextual Natural Language Processing and DAML for Understanding Software Requirements Specifications

CORDULA: Software Requirements Extraction Utilizing Chatbot as Communication Interface

Natural language requirement descriptions are often unstructured, contradictory and incomplete and are therefore challenging for automatic processing. Although many of these deficits can be compensated by means of natural language processing, there still remain cases where interaction with end-users is necessary for clarification. In this vision paper, we present CORDULA, a system using chatbot...

Towards Software Requirements Extraction Using Natural Language Approach

In this paper, we present an automated support environment to reduce the time and efforts required to produce and maintain a reusable specification document. Our proposed model has two operation modes: the first one is the forward mode in which our model automatically converts English natural language requirements into UML class diagram models. While the second one is the backward mode in which...

Which Semantics for Requirements Engineering: From Shallow to Deep

Natural language processing has been proposed and applied to support a variety of tasks in requirements engineering. While shallow semantic allows to address many of the challenges, to further automatize requirements analysis a full understanding of textual requirements is needed. To this end, the future generation of natural language processing systems needs a deep semantics, that is a represe...