Cargando…

Software Requirements Classification Using Machine Learning Algorithms

The correct classification of requirements has become an essential task within software engineering. This study shows a comparison among the text feature extraction techniques, and machine learning algorithms to the problem of requirements engineer classification to answer the two major questions “W...

Descripción completa

Detalles Bibliográficos
Autores principales:	Dias Canedo, Edna, Cordeiro Mendes, Bruno
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	MDPI 2020
Materias:	Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7597130/ https://www.ncbi.nlm.nih.gov/pubmed/33286826 http://dx.doi.org/10.3390/e22091057

Ejemplares similares

One- and Two-Phase Software Requirement Classification Using Ensemble Deep Learning
por: Rahimi, Nouf, et al.
Publicado: (2021)

Augmenting Speech Quality Estimation in Software-Defined Networking Using Machine Learning Algorithms
por: Rozhon, Jan, et al.
Publicado: (2021)

Exploring Guidelines for Classification of Major Heart Failure Subtypes by Using Machine Learning
por: Alonso-Betanzos, Amparo, et al.
Publicado: (2015)

Perceptions of ICT Practitioners Regarding Software Privacy
por: Dias Canedo, Edna, et al.
Publicado: (2020)

ECG-based machine-learning algorithms for heartbeat classification
por: Aziz, Saira, et al.
Publicado: (2021)

Keratoconus Severity Classification Using Features Selection and Machine Learning Algorithms
por: Aatila, Mustapha, et al.
Publicado: (2021)

Investigations on Brain Tumor Classification Using Hybrid Machine Learning Algorithms
por: Rinesh, S., et al.
Publicado: (2022)

Machine Learning Algorithms for Automatic Classification of Marmoset Vocalizations
por: Turesson, Hjalmar K., et al.
Publicado: (2016)

Robust algorithm for arrhythmia classification in ECG using extreme learning machine
por: Kim, Jinkwon, et al.
Publicado: (2009)

Diabetic retinopathy classification for supervised machine learning algorithms
por: Nakayama, Luis Filipe, et al.
Publicado: (2022)

Head motion classification using thread-based sensor and machine learning algorithm
por: Jiang, Yiwen, et al.
Publicado: (2021)

Classification and prediction of protein–protein interaction interface using machine learning algorithm
por: Das, Subhrangshu, et al.
Publicado: (2021)

Multi-class classification of COVID-19 documents using machine learning algorithms
por: Rabby, Gollam, et al.
Publicado: (2022)

Jammer Classification in GNSS Bands Via Machine Learning Algorithms
por: Morales Ferre, Ruben, et al.
Publicado: (2019)

Biosensor-Assisted Method for Abdominal Syndrome Classification Using Machine Learning Algorithm
por: Gandhi, Charu, et al.
Publicado: (2022)

Protein Sequence Classification with Improved Extreme Learning Machine Algorithms
por: Cao, Jiuwen, et al.
Publicado: (2014)

Investigation of machine learning algorithms for taxonomic classification of marine metagenomes
por: Park, Helen, et al.
Publicado: (2023)

Identification and Classification of Parkinsonian and Essential Tremors for Diagnosis Using Machine Learning Algorithms
por: Xing, Xupo, et al.
Publicado: (2022)

Classification of Hypoglycemic Events in Type 1 Diabetes Using Machine Learning Algorithms
por: Cederblad, Lars, et al.
Publicado: (2023)

Machine learning algorithms for mode-of-action classification in toxicity assessment
por: Zhang, Yile, et al.
Publicado: (2016)

Machine learning algorithms in microbial classification: a comparative analysis
por: Wu, Yuandi, et al.
Publicado: (2023)

Requests classification in the customer service area for software companies using machine learning and natural language processing
por: Arias-Barahona, María Ximena, et al.
Publicado: (2023)

Biomedical Image Classification in a Big Data Architecture Using Machine Learning Algorithms
por: Tchito Tchapga, Christian, et al.
Publicado: (2021)

Comparative Study of Several Machine Learning Algorithms for Classification of Unifloral Honeys
por: Mateo, Fernando, et al.
Publicado: (2021)

Machine Learning Algorithms for Detection and Classifications of Emotions in Contact Center Applications
por: Płaza, Mirosław, et al.
Publicado: (2022)

Comparison of the prediction accuracy of machine learning algorithms in crosslinguistic vowel classification
por: Georgiou, Georgios P.
Publicado: (2023)

Tree-Based and Machine Learning Algorithm Analysis for Breast Cancer Classification
por: Bhardwaj, Arpit, et al.
Publicado: (2022)

Machine Learning and Deep Learning Algorithms for Skin Cancer Classification from Dermoscopic Images
por: Bechelli, Solene, et al.
Publicado: (2022)

Chemoinformatics-driven classification of Angiosperms using sulfur-containing compounds and machine learning algorithm
por: Abdullah-Zawawi, Muhammad-Redha, et al.
Publicado: (2022)

Causative Classification of Ischemic Stroke by the Machine Learning Algorithm Random Forests
por: Wang, Jianan, et al.
Publicado: (2022)

A Machine Learning Based Software Pipeline to Pick the Variable Ordering for Algorithms with Polynomial Inputs
por: Florescu, Dorian, et al.
Publicado: (2020)

Predicting the COVID-19 infection with fourteen clinical features using machine learning classification algorithms
por: Arpaci, Ibrahim, et al.
Publicado: (2021)

A Preprocessing Perspective for Quantum Machine Learning Classification Advantage in Finance Using NISQ Algorithms
por: Mancilla, Javier, et al.
Publicado: (2022)

Comparing Machine Learning and PLSDA Algorithms for Durian Pulp Classification Using Inline NIR Spectra
por: Pokhrel, Dharma Raj, et al.
Publicado: (2023)

Classification and diagnostic prediction of breast cancer metastasis on clinical data using machine learning algorithms
por: Botlagunta, Mahendran, et al.
Publicado: (2023)

Facial geometric feature extraction based emotional expression classification using machine learning algorithms
por: M., Murugappan, et al.
Publicado: (2021)

Machine learning models and algorithms for big data classification: thinking with examples for effective learning
por: Suthaharan, Shan
Publicado: (2015)

Likelihood contrasts: a machine learning algorithm for binary classification of longitudinal data
por: Klén, Riku, et al.
Publicado: (2020)

Performance Evaluation of Quantum-Based Machine Learning Algorithms for Cardiac Arrhythmia Classification
por: Ozpolat, Zeynep, et al.
Publicado: (2023)

Classification of estrogenic compounds by coupling high content analysis and machine learning algorithms
por: Mukherjee, Rajib, et al.
Publicado: (2020)

Cannot write session to /tmp/vufind_sessions/sess_2h6aeaellf6njmdi7p5ieu4498