A Survey on Feature Selection in Imbalanced Data for Software Defect Prediction-Reference-Cited by-同舟云学术

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A Survey on Feature Selection in Imbalanced Data for Software Defect Prediction

Published:2023-12-08 Issue: Volume: Page:
ISSN:
Container-title:2023 Eighth International Conference on Informatics and Computing (ICIC)
language:
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Author:

Frieyadie ¹,Abdullah Munaisyah¹,Setiawan Foni Agus²

Affiliation:

1. Universiti Kuala Lumpur,Malaysian Institute of Information Technology (MIIT),Kuala Lumpur,Malaysia

2. Universitas Ibn Khaldun Bogor,Dept. of Informatics Engineering,Bogor,Indonesia

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10381889/10381891/10382016.pdf?arnumber=10382016

Reference31 articles.

1. An Empirical Study of Model-Agnostic Techniques for Defect Prediction Models

2. Entropy-Based Two-Dimensional Software Reliability Growth Modeling for Open-Source Software Incorporating Change-Point

3. Class Imbalance Evolution and Verification Latency in Just-in-Time Software Defect Prediction

4. Tackling Class Imbalance Problem in Software Defect Prediction Through Cluster-Based Over-Sampling With Filtering

5. An Adaptive Rank Aggregation-Based Ensemble Multi-Filter Feature Selection Method in Software Defect Prediction

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Comparative Analysis of Machine Learning Techniques for Imbalanced Genetic Data;Annals of Data Science;2024-08-13

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