Evaluation of Sampling-Based Ensembles of Classifiers on Imbalanced Data for Software Defect Prediction Problems-Reference-Cited by-同舟云学术

Evaluation of Sampling-Based Ensembles of Classifiers on Imbalanced Data for Software Defect Prediction Problems

Published:2020-03 Issue:2 Volume:1 Page:
ISSN:2662-995X
Container-title:SN Computer Science
language:en
Short-container-title:SN COMPUT. SCI.

Author:

Khuat Thanh Tung^ORCID,Le My Hanh

Funder

Ministry of Education and Training

Publisher

Springer Science and Business Media LLC

Link

http://link.springer.com/content/pdf/10.1007/s42979-020-0119-4.pdf

Reference64 articles.

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3. Khuat TT, Le MH. Optimizing parameters of software effort estimation models using directed artificial bee colony algorithm. Informatica. 2017;40:427–36.

4. Laradji IH, Alshayeb M, Ghouti L. Software defect prediction using ensemble learning on selected features. Inf Softw Technol. 2015;58:388–402.

5. Yuan X, Khoshgoftaar TM, Allen EB, Ganesan K. An application of fuzzy clustering to software quality prediction. In: Proceedings of 3rd IEEE symposium on application-specific systems and software engineering technology; 2000; p. 85–90.

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