BOOK-CHAPTER

Software Defect Prediction Method Based on Cost-Sensitive Random Forest

Weidong ZhaoShengdong ZhangMing Wang

Year: 2022 IFIP advances in information and communication technology Pages: 369-381   Publisher: Springer Science+Business Media
Keywords:
Random forest Computer science Decision tree Data mining Preprocessor Software Voting Sample (material) Data pre-processing Measure (data warehouse) Statistics Artificial intelligence Mathematics

Metrics

2
Cited By
1.36
FWCI (Field Weighted Citation Impact)
18
Refs
0.78
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Software Engineering Research
Physical Sciences →  Computer Science →  Information Systems
Imbalanced Data Classification Techniques
Physical Sciences →  Computer Science →  Artificial Intelligence
Software Reliability and Analysis Research
Physical Sciences →  Computer Science →  Software

Related Documents

JOURNAL ARTICLE

Cost Sensitive Boosting Software Defect Prediction Method

LI Li, REN Zhenkang, SHI Kexin

Journal:   DOAJ (DOAJ: Directory of Open Access Journals) Year: 2022
BOOK-CHAPTER

Cost Sensitive Decision Forest and Voting for Software Defect Prediction

Michael J. SiersMd Zahidul Islam

Lecture notes in computer science Year: 2014 Pages: 929-936
JOURNAL ARTICLE

Software Defect Prediction based on Bayesian Optimization Random Forest

Yingyan ShenShaojie HuSiqi CaiMincheng Chen

Journal:   2022 9th International Conference on Dependable Systems and Their Applications (DSA) Year: 2022 Pages: 1012-1013
JOURNAL ARTICLE

Software Defect Prediction Based on Cost-Sensitive Dictionary Learning

Hongyan WanGuoqing WuMali YuMengting Yuan

Journal:   International Journal of Software Engineering and Knowledge Engineering Year: 2019 Vol: 29 (09)Pages: 1219-1243
© 2026 ScienceGate Book Chapters — All rights reserved.