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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...
| Autores principales: | , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Hindawi
2021
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| Materias: | |
| 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 |