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.
Αποθηκεύτηκε σε:
| Κύριοι συγγραφείς: | Ha, Thi Minh Phuong, Nguyen, Thi Kim Ngan, Nguyen, Thanh Binh |
|---|---|
| Μορφή: | Bài viết |
| Γλώσσα: | English |
| Έκδοση: |
The University of Da Nang, Journal of Science and Technology
2024
|
| Θέματα: | |
| Διαθέσιμο Online: | https://jst-ud.vn/jst-ud/article/view/9255/6222 https://elib.vku.udn.vn/handle/123456789/4058 |
| Ετικέτες: |
Προσθήκη ετικέτας
Δεν υπάρχουν, Καταχωρήστε ετικέτα πρώτοι!
|
| Thư viện lưu trữ: | Trường Đại học Công nghệ Thông tin và Truyền thông Việt Hàn - Đại học Đà Nẵng |
|---|
Παρόμοια τεκμήρια
-
Performance Analysis of Deep Learning Models for Software Fault Prediction Using the BugHunter Dataset
ανά: Dang, Thi Kim Ngan, κ.ά.
Έκδοση: (2025) -
A Comparative Study of Wrapper Feature Selection Techniques in Software Fault Prediction
ανά: Nguyen, Thanh Long, κ.ά.
Έκδοση: (2023) -
A combination of feature selection and data sampling techniques for software fault prediction
ανά: Ha, Thi Minh Phuong, κ.ά.
Έκδοση: (2024) -
A Study of Filter-Based Feature Selection in Software Fault Prediction
ανά: Ha, Thi Minh Phuong, κ.ά.
Έκδοση: (2023) -
A comparative study of handling imbalanced data using generative adversarial networks for machine learning based software fault prediction
ανά: Ha, Thi Minh Phuong, κ.ά.
Έκδοση: (2025)