A comparative study of deep learning techniques in software fault prediction
The University of Da Nang, Journal of Science and Technology; Voll.22, No.6B; pp: 01-05.
Enregistré dans:
| Auteurs principaux: | Ha, Thi Minh Phuong, Nguyen, Thi Kim Ngan, Nguyen, Thanh Binh |
|---|---|
| Format: | Bài viết |
| Langue: | English |
| Publié: |
The University of Da Nang, Journal of Science and Technology
2024
|
| Sujets: | |
| Accès en ligne: | https://jst-ud.vn/jst-ud/article/view/9255/6222 https://elib.vku.udn.vn/handle/123456789/4058 |
| Tags: |
Ajouter un tag
Pas de tags, Soyez le premier à ajouter un tag!
|
| Thư viện lưu trữ: | Trường Đại học Công nghệ Thông tin và Truyền thông Việt Hàn - Đại học Đà Nẵng |
|---|
Documents similaires
-
Performance Analysis of Deep Learning Models for Software Fault Prediction Using the BugHunter Dataset
par: Dang, Thi Kim Ngan, et autres
Publié: (2025) -
A Comparative Study of Wrapper Feature Selection Techniques in Software Fault Prediction
par: Nguyen, Thanh Long, et autres
Publié: (2023) -
A combination of feature selection and data sampling techniques for software fault prediction
par: Ha, Thi Minh Phuong, et autres
Publié: (2024) -
A Study of Filter-Based Feature Selection in Software Fault Prediction
par: Ha, Thi Minh Phuong, et autres
Publié: (2023) -
A comparative study of handling imbalanced data using generative adversarial networks for machine learning based software fault prediction
par: Ha, Thi Minh Phuong, et autres
Publié: (2025)