A Machine Learning Approach for Effective Software Defect Detection
Author:
Affiliation:
1. School of Science and Technology International Hellenic University,The Data Mining and Analytics Research Group,Thessaloniki,Greece
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10345839/10345840/10345866.pdf?arnumber=10345866
Reference31 articles.
1. Clustering for Monitoring Software Systems Maintainability Evolution
2. Mining Association Rules from Code (MARC) to support legacy software management
3. Researcher Bias: The Use of Machine Learning in Software Defect Prediction
4. Clustering Software Metric Values Extracted from C# Code for Maintainability Assessment
5. Using classifiers for software defect detection;Perreault
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1. Efficient Cross-Project Software Defect Prediction Based on Federated Meta-Learning;Electronics;2024-03-18
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