Comprehensive Survey of different Machine Learning Algorithms used for Software Defect Prediction-Reference-Cited by-同舟云学术

Comprehensive Survey of different Machine Learning Algorithms used for Software Defect Prediction

Published:2022-03-23 Issue: Volume: Page:
ISSN:
Container-title:2022 International Conference on Decision Aid Sciences and Applications (DASA)
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Author:

K Sharadhi A.¹,Gururaj Vybhavi¹,Umadi Keerti R.¹,Kumar Mushkan¹,Shankar Sahana P.¹,Varadam Deepak¹

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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