Comprehensive Survey of different Machine Learning Algorithms used for Software Defect Prediction
Author:
Affiliation:
1. Ramaiah University of Applied Sciences,Department of Computer Science and Engineering,Bengaluru,India
Funder
Mae Fah Luang University
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9764877/9764959/09764982.pdf?arnumber=9764982
Reference35 articles.
1. Voting Based Ensemble Classification for Software Defect Prediction
2. Semantic Feature Discovery of Trojan Malware using Vector Space Kernels
3. Comparative Analysis of the Various Data Mining Techniques for Defect Prediction using the NASA MDP Datasets for Better Quality of the Software Product;naresh;Advances in Computational Sciences and Technology,2017
4. Overview of Software Defect Prediction using Machine Learning Algorithms;kalaivani,2018
5. Long-Term Performance of a Generic Intrusion Detection Method Using Doc2vec
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