An empirical study on the effectiveness of data resampling approaches for cross‐project software defect prediction-Reference-Cited by-同舟云学术

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An empirical study on the effectiveness of data resampling approaches for cross‐project software defect prediction

Published:2021-11-28 Issue: Volume: Page:
ISSN:1751-8806
Container-title:IET Software
language:en
Short-container-title:IET softw.

Author:

Bennin Kwabena Ebo¹^ORCID,Tahir Amjed²^ORCID,MacDonell Stephen G.³,Börstler Jürgen⁴

Affiliation:

1. Information Technology Wageningen University and Research Wageningen the Netherlands

2. Massey University Palmerston North New Zealand

3. University of Otago and Auckland University of Technology Dunedin New Zealand

4. Blekinge Institute of Technology Karlskrona Sweden

Publisher

Institution of Engineering and Technology (IET)

Subject

Computer Graphics and Computer-Aided Design

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1049/sfw2.12052

Reference62 articles.

1. Benchmarking Classification Models for Software Defect Prediction: A Proposed Framework and Novel Findings

2. Data Mining Static Code Attributes to Learn Defect Predictors

3. Data Quality: Some Comments on the NASA Software Defect Datasets

4. The confounding effect of class size on the validity of object-oriented metrics

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1. A study on cross-project fault prediction through resampling and feature reduction along with source projects selection;Automated Software Engineering;2024-08-16

2. An empirical study of data sampling techniques for just-in-time software defect prediction;Automated Software Engineering;2024-06-22

3. Handling class overlap and imbalance using overlap driven under-sampling with balanced random forest in software defect prediction;Innovations in Systems and Software Engineering;2024-06-18

4. A multi-strategy fusion identification model for failure mode of reinforced concrete column;ISA Transactions;2024-05

5. A novel defect prediction method based on semantic feature enhancement;Journal of Software: Evolution and Process;2024-04-28

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