Trends in Intelligent and AI-Based Software Engineering Processes: A Deep Learning-Based Software Process Model Recommendation Method.
Journal
Computational intelligence and neuroscience
ISSN: 1687-5273
Titre abrégé: Comput Intell Neurosci
Pays: United States
ID NLM: 101279357
Informations de publication
Date de publication:
2022
2022
Historique:
received:
24
08
2022
revised:
17
09
2022
accepted:
20
09
2022
entrez:
17
10
2022
pubmed:
18
10
2022
medline:
19
10
2022
Statut:
epublish
Résumé
In recent years, numerous studies have successfully implemented machine learning strategies in a wide range of application areas. Therefore, several different deep learning models exist, each one tailored to a certain software task. Using deep learning models provides numerous advantages for the software development industry. Testing and maintaining software is a critical concern today. Software engineers have many responsibilities while developing a software system, including coding, testing, and delivering the software to users
Identifiants
pubmed: 36248934
doi: 10.1155/2022/1960684
pmc: PMC9556201
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
1960684Informations de copyright
Copyright © 2022 Fahad H. Alshammari.
Déclaration de conflit d'intérêts
The author declares no conflicts of interest.