# An Empirical Study on Data Sampling Methods in Addressing Class Imbalance Problem in Software Defect Prediction

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/an-empirical-study-on-data-sampling-methods-in-addressing-class-imbalance/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Babajide J. Odejide,Amos Orenyi Bajeh,Abdullateef Oluwagbemiga Balogun,Zubair O. Alanamu,Kayode S. Adewole,Abimbola G. Akintola,Shakirat Aderonke Salihu,Fatima Enehezei Usman-Hamza,Hammed A. Mojeed |
| Citations | 23 |
| DOI | 10.1007/978-3-031-09070-7_49 |
| Fields | Computer Science |
| Open Access | false |
| OA Status | closed |
| OpenAlex ID | https://openalex.org/W4285612172 |
| Type | conference-paper |
| Year | 2022 |

## Paper authors

- [Shakirat Aderonke Salihu](https://scholariq.org/researchers/shakirat-aderonke-salihu/)

## Paper primary topic

- [Software Engineering Research](https://scholariq.org/topics/software-engineering-research/)

## Paper topics

- [Software Engineering Research](https://scholariq.org/topics/software-engineering-research/)
- [Software Reliability and Analysis Research](https://scholariq.org/topics/software-reliability-and-analysis-research/)
- [Imbalanced Data Classification Techniques](https://scholariq.org/topics/imbalanced-data-classification-techniques/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.