ISSN : 2663-2187
-
Instrumentation Design and Fabrication for Detecting Micro–Voltage Potentials in Spinach Plant
Volume 8 | Issue - 10
-
ESBL (Extended–Spectrum Beta–Lactamase) – Producing Enterobacteriaceae in Hospitalized UTI – Prevalence and Molecular Characterization
Volume 8 | Issue - 10
-
Adoption of Hydroagricultural Developments and Effects on Economic Performance Sustainability and Climate Resilience
Volume 8 | Issue - 10
-
The Anti-Tumor Effects and Mechanisms of Harmine: From Molecular Actions to Translational Challenges
Volume 8 | Issue - 9
-
Prosthetic management of edentulous patients with mandibulectomy : case report
Volume 8 | Issue - 9
Evaluation of Machine Learning Algorithms for Classifying Functional and Non-Functional Requirements
Main Article Content
Abstract
The correct categorization of functional and nonfunctional requirements has become a significant task in requirement engineering (RE). The requirements for software are written in natural language text. Machine Learning (ML) - based approaches provide better results than traditional natural language processing
