Software Defect Prediction Based on Hybrid Swarm Intelligence and Deep Learning

In order to improve software quality and testing efficiency, this paper implements the prediction of software defects based on deep learning. According to the respective advantages and disadvantages of the particle swarm algorithm and the wolf swarm algorithm, the two algorithms are mixed to realize...

Descripción completa

Detalles Bibliográficos
Autores principales: Li, Zhen, Li, Tong, Wu, YuMei, Yang, Liu, Miao, Hong, Wang, DongSheng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2021
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8727112/
https://www.ncbi.nlm.nih.gov/pubmed/34992647
http://dx.doi.org/10.1155/2021/4997459

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8727112/
https://www.ncbi.nlm.nih.gov/pubmed/34992647
http://dx.doi.org/10.1155/2021/4997459

Ejemplares similares