Employing Artificial Intelligence techniques to address challenges in requirements elicitation
is gaining traction. Although nine systematic literature reviews have been published on AI …

User reviews are a valuable source of feedback for software developers, as they contain
user requirements, opinions, and expectations regarding app usage, including dislikes …

Over the past few years, the application and usage of Machine Learning (ML) techniques
have increased exponentially due to continuously increasing the size of data and computing …

The identification of suitable feature subsets from High-Dimensional Low-Sample-Size
(HDLSS) data is of paramount importance because this dataset often contains numerous …

With the increased use of network technologies like Internet of Things (IoT) in many real-
world applications, new types of cyberattacks have been emerging. To safeguard critical …

The field of automatic detection of quality attributes from software requirements' text stands
as one of the most pioneering realms within software requirements research. Such …

This study emphasizes the domain of requirements engineering by applying the SMOTE-
Tomek preprocessing technique, combined with stratified K-fold cross-validation, to address …

Across the dynamic business landscape today, enterprises face an ever-increasing range of
challenges. These include the constantly evolving regulatory environment, the growing …

ABSTRACT A classificação de requisitos de software é um dos processos da etapa de
análise de requisitos, sendo fundamental para a compreensão do software a ser criado …

In the ever-evolving landscape of the digital age, the financial industry stands at the
precipice of a transformative journey, propelled by the convergence of two groundbreaking …