An efficient dual ensemble software defect prediction method with neural network-Reference-Cited by-同舟云学术

An efficient dual ensemble software defect prediction method with neural network

Published:2021-10 Issue: Volume: Page:
ISSN:
Container-title:2021 IEEE International Symposium on Software Reliability Engineering Workshops (ISSREW)
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Author:

Chen Jinfu¹,Xu Jiaping¹,Cai Saihua¹,Wang Xiaoli¹,Gu Yuechao¹,Wang Shuhui¹

Affiliation:

1. School of Computer Science and Communication Engineering, Jiangsu University,Zhenjiang,China

Funder

National Key R&D Program of China

National Natural Science Foundation of China (NSFC)

China Postdoctoral Science Foundation

Postdoctoral Science Foundation of Jiangsu Province

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9700162/9700165/09700228.pdf?arnumber=9700228

Reference34 articles.

1. Performance Analysis of Machine Learning Techniques on Software Defect Prediction using NASA Datasets

2. Software metrics for fault prediction using machine learning approaches: A literature review with PROMISE repository dataset [C];karim;2017 IEEE International Conference on Cybernetics and Computational Intelligence (CyberneticsCom),2017

3. Software defect prediction using stacked denoising autoencoders and two-stage ensemble learning

4. A systematic review of unsupervised learning techniques for software defect prediction

5. Assessing the Performance of Prediction Models

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