Comparative Study of Ensemble Learning Methods in Just-in-time Software Defect Prediction-Reference-Cited by-同舟云学术

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Comparative Study of Ensemble Learning Methods in Just-in-time Software Defect Prediction

Published:2023-10-22 Issue: Volume:30 Page:83-92
ISSN:
Container-title:2023 IEEE 23rd International Conference on Software Quality, Reliability, and Security Companion (QRS-C)
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Author:

Zhang Wenjing¹,Li Yong¹,Wen Ming²,He Ruiqi¹

Affiliation:

1. College of Computer Science and Technology, Xinjiang Normal University,Urumqi,Xinjiang,China

2. Xinjiang Electronics Research Institute,Urumqi,Xinjiang,China

Funder

National Natural Science Foundation of China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10429824/10429825/10430031.pdf?arnumber=10430031

Reference36 articles.

1. Recent Advances in Software Reliability Assurance

2. Be more familiar with our enemies and pave the way forward: A review of the roles bugs played in software failures

3. Recent Catastrophic Accidents: Investigating How Software was Responsible

4. Software Defect Prediction Using Ensemble Learning: A Systematic Literature Review

5. An investigation of cross-project learning in online just-in-time software defect prediction

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1. EvaluateXAI: A framework to evaluate the reliability and consistency of rule-based XAI techniques for software analytics tasks;Journal of Systems and Software;2024-11

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