An Efficient Methodology for the Categorization of Software Requirements Using Natural Language Processing and Similarity Analysis

The classification of software requirements into functional (FRs) and non-functional requirements (NFRs) is indispensable for the efficacious implementation of software systems. Traditionally, this endeavor reliant on manual exertion, this process has proven to be both protracted and inherently susc...

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Bibliografiske detaljer

Principais autores:	Rahat Izhar, Kenneth Cosh, Lachana Ramingwon, Sakgasit Ramingwong, Shahid N. Bhatti
Format:	Artigo
Sprog:	Inglês
Udgivet:	IEEE 2025-01-01
Serier:	IEEE Access
Fag:	Software requirements engineering natural language processing (NLP) machine learning (ML) requirements classification
Online adgang:	https://ieeexplore.ieee.org/document/10994440/
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