eCPDP: Early Cross-Project Defect Prediction-Reference-Cited by-同舟云学术

eCPDP: Early Cross-Project Defect Prediction

Published:2021-12 Issue: Volume: Page:
ISSN:
Container-title:2021 IEEE 21st International Conference on Software Quality, Reliability and Security (QRS)
language:
Short-container-title:

Author:

Kwon Sunjae¹,Ryu Duksan²,Baik Jongmoon¹

Affiliation:

1. KAIST,Daejeon,Korea

2. Jeonbuk National University,Jeonju,Korea

Funder

National Research Foundation of Korea

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9724650/9724651/09724769.pdf?arnumber=9724769

Reference41 articles.

1. Unit Testing in Global Software Development Environment

2. Statistical Power Analysis for the Behavioral Sciences;cohen;Hillsdale,1988

3. Class-Boundary Alignment for Imbalanced Data Set Learning;wu;Proc Int'l Conf Data Mining (ICDM '03) Workshop Learning from Imbalanced Data Sets II,0

4. How Far We Have Progressed in the Journey? An Examination of Cross-Project Defect Prediction

Cited by 4 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. MASTER: Multi-Source Transfer Weighted Ensemble Learning for Multiple Sources Cross-Project Defect Prediction;IEEE Transactions on Software Engineering;2024-05

2. An effective approach to improve the performance of eCPDP (early cross-project defect prediction) via data-transformation and parameter optimization;Software Quality Journal;2023-03-16

3. MSCPDPLab: A MATLAB toolbox for transfer learning based multi-source cross-project defect prediction;SoftwareX;2023-02

4. An Empirical Study of the Bug Link Rate;2022 IEEE 22nd International Conference on Software Quality, Reliability and Security (QRS);2022-12