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...
Saved in:
| Main Authors: | Rahat Izhar, Kenneth Cosh, Lachana Ramingwon, Sakgasit Ramingwong, Shahid N. Bhatti |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
IEEE
2025-01-01
|
| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/10994440/ |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Multi-label software requirement smells classification using deep learning
by: Ashagrew Liyih Alem, et al.
Published: (2025-02-01) -
Ensuring quality in software requirement engineering process: A comparative study
by: Sadia Khalid, et al.
Published: (2025-09-01) -
A unified model to manage requirement engineering for global software development
by: Turki A. ALQarni, et al.
Published: (2019-02-01) -
Incorporating Semi-Automated Approach for Effective Software Requirements Prioritization: A Framework Design
by: Fang-Fang Chua, et al.
Published: (2022-03-01) -
Building Traceability Between Functional Requirements and Component Architecture Elements in Embedded Software Using Structured Features
by: Insun Yoo, et al.
Published: (2024-11-01)