An end-to-end deep learning system for requirements classification using recurrent neural networks

O AlDhafer, I Ahmad, S Mahmood - Information and Software Technology, 2022 - Elsevier
Context: Existing requirements classification approaches mainly use lexical and syntactical
features to classify requirements using both traditional machine learning and deep learning …

An Ensemble-Based Multi-Classification Machine Learning Classifiers Approach to Detect Multiple Classes of Cyberbullying

AF Alqahtani, M Ilyas - Machine Learning and Knowledge Extraction, 2024 - mdpi.com
The impact of communication through social media is currently considered a significant
social issue. This issue can lead to inappropriate behavior using social media, which is …

PURA: a product-and-user oriented approach for requirement analysis from online reviews

M Cai, Y Tan, B Ge, Y Dou, G Huang… - IEEE Systems …, 2021 - ieeexplore.ieee.org
Users often show different and personalized product requirements with respect to their
gender, age, location, and other attributes. The requirement analysis of various users is thus …

A non-exclusive multi-class convolutional neural network for the classification of functional requirements in AUTOSAR software requirement specification text

S Jp, VK Menon, KP Soman, AKR Ojha - IEEE Access, 2022 - ieeexplore.ieee.org
Software Requirement Specification (SRS) describes a software system to be developed
that captures the functional, non-functional, and technical aspects of the stakeholder's …

Extracting feature requests from online reviews of travel industry.

S Kumari, Z Ali - Acta Scientiarum: Technology, 2022 - search.ebscohost.com
Abstract Before product development, Requirement Engineering (RE) is the fundamental
need to know customer preferences for any product. Traditionally, RE is carried out in …

Classification of non-functional requirements from iot oriented healthcare requirement document

I Khurshid, S Imtiaz, W Boulila, Z Khan… - Frontiers in Public …, 2022 - frontiersin.org
Internet of Things (IoT) involves a set of devices that aids in achieving a smart environment.
Healthcare systems, which are IoT-oriented, provide monitoring services of patients' data …

Classification of Software Systems attributes based on quality factors using linguistic knowledge and machine learning: A review.

A Ali, N Nimat Saleem - Journal of Education and Science, 2022 - mosuljournals.com
ﺗﺻﻧﯾف ﺳﻣﺎت أﻧظﻣﺔ اﻟﺑرﻣﺟﯾﺎت ﺑﺎﻻﻋﺗﻣﺎد ﻋﻟﯽ ﻋواﻣل اﻟﺟودة Page 1 Journal of Education and Science (ISSN
1812-125X), Vol: 31, No: 03, 2022 (66-90) 66 Classification of Software Systems attributes …

Multi-label classifier to deal with misclassification in non-functional requirements

M Sabir, C Chrysoulas, E Banissi - … Systems and Technologies: Volume 1 8, 2020 - Springer
Automatic classification of software requirements is an active research area; it can alleviate
the tedious task of manual labeling and improves transparency in the requirements …

[PDF][PDF] Non-functional requirements elicitation in agile base models

D Kumar, A Kumar, L Singh - Webology, 2022 - webology.org
The elicitation of non-functional and functional needs is one of the most critical jobs of a
requirement engineer. This scenario involves the imposition of limits on non-functional …

[PDF][PDF] An Engineering Approach to Integrate Non-Functional Requirements (NFR) to Achieve High Quality Software Process.

MA Gondal, NA Qureshi, H Mukhtar, HF Ahmed - ICEIS (2), 2020 - scitepress.org
Software quality calls for an engineering approach to incorporate non-functional
requirements as first-class citizens into software specification and later operationalized at …