NFRNet: A Deep Neural Network for Automatic Classification of Non-Functional Requirements

Abstract

Non-functional requirements specify those qualities that software products must have in order to meet the user’s business requirements. The elicitation of these non-functional requirements requires expertise, experience, and domain knowledge, which is challenging and time-consuming for requirements engineers and developers. It would be very beneficial if the nonfunctional requirements can be automatically extracted from the requirements documentation to reduce the human efforts, time, and avoid the mental fatigue. In this paper, we present a novel deep neural network model called NFRNet to automatically extract non-functional requirements from software requirements documentation.