Cross-Project Defect Prediction via Transferable Deep Learning-Generated and Handcrafted Features-Reference-Cited by-同舟云学术

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Cross-Project Defect Prediction via Transferable Deep Learning-Generated and Handcrafted Features

Published:2019-07-10 Issue: Volume: Page:
ISSN:2325-9000
Container-title:International Conferences on Software Engineering and Knowledge Engineering
language:
Short-container-title:

Author:

Qiu Shaojian,Lu Lu,Cai Ziyi,Jiang Siyu

Publisher

KSI Research Inc. and Knowledge Systems Institute Graduate School

Cited by 12 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Semantic and traditional feature fusion for software defect prediction using hybrid deep learning model;Scientific Reports;2024-07-01

2. SDP-MTF: A Composite Transfer Learning and Feature Fusion for Cross-Project Software Defect Prediction;Electronics;2024-06-21

3. Semantic feature learning for software defect prediction from source code and external knowledge;Journal of Systems and Software;2023-10

4. Adversarial domain adaptation for cross-project defect prediction;Empirical Software Engineering;2023-09

5. Studying the effectiveness of deep active learning in software defect prediction;International Journal of Computers and Applications;2023-08-03

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