An Experimental Analysis on Automated Machine Learning for Software Defect Prediction-Reference-Cited by-同舟云学术

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An Experimental Analysis on Automated Machine Learning for Software Defect Prediction

Published:2024-06-30 Issue: Volume: Page:1-8
ISSN:
Container-title:2024 IEEE Congress on Evolutionary Computation (CEC)
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Author:

Basgalupp Márcio P.¹,Barros Rodrigo C.²,Da Silva Tiago S.¹,Silveira Fábio F.¹,Miranda Péricles B.C.³,Neri Ferrante⁴

Affiliation:

1. Instituto de Ciência e Tecnologia, Universidade Federal de São Paulo,Brazil

2. Pontifícia Universidade Católica do Rio Grande do Sul,Brazil

3. Universidade Federal Rural de Pernambuco,Brazil

4. University of Surrey,United Kingdom

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10609966/10611750/10611946.pdf?arnumber=10611946

Reference34 articles.

1. The road ahead for Mining Software Repositories

2. A critique of software defect prediction models

3. Software Defect Prediction Analysis Using Machine Learning Techniques

4. Knowledge transfer based many-objective approach for finding bugs in multi-path loops

5. Software Defects Prediction using Machine Learning Algorithms

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