Software Defect Identification Using Machine Learning Techniques-Reference-Cited by-同舟云学术

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Software Defect Identification Using Machine Learning Techniques

Published:2006-08 Issue: Volume: Page:
ISSN:
Container-title:32nd EUROMICRO Conference on Software Engineering and Advanced Applications (EUROMICRO'06)
language:
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Author:

Ceylan Evren,Kutlubay F. Onur,Bener Ayse B.

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx5/11118/35633/01690146.pdf?arnumber=1690146

Cited by 32 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. Exploring the impact of data preprocessing techniques on composite classifier algorithms in cross-project defect prediction;Automated Software Engineering;2024-06-06

2. Enhancing Software Defect Prediction Through Advanced Machine Learning: Investigating Solutions to Key Limitations of Traditional Techniques;2024 International Conference on Intelligent Systems for Cybersecurity (ISCS);2024-05-03

3. A Novel Approach to Predict the Defect Density in Software Application Using Linear Regression Algorithm;2024 International Conference on Science Technology Engineering and Management (ICSTEM);2024-04-26

4. Software Defect Prediction by Logistic Regression with Gradient Descent Cost Computation;2024 International Conference on Emerging Smart Computing and Informatics (ESCI);2024-03-05

5. A survey on machine learning techniques applied to source code;Journal of Systems and Software;2024-03

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