Just‐in‐time defect prediction for software hunks-Reference-Cited by-同舟云学术

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Just‐in‐time defect prediction for software hunks

Published:2021-06-16 Issue:1 Volume:52 Page:130-153
ISSN:0038-0644
Container-title:Software: Practice and Experience
language:en
Short-container-title:Softw: Pract Exper

Author:

Zhu Xiaoyan¹^ORCID,Yan Chenyu¹^ORCID,Whitehead E. James²,Niu Binbin³,Zhu Lei⁴,Pan Long⁵

Affiliation:

1. School of Computer Science and Technology Xi'an Jiaotong University Xi'an China

2. Department of Computational Media University of California, Santa Cruz Santa Cruz CA USA

3. Beijing Millet Technology Co., Ltd Beijing China

4. School of Computer Science and Engineering Xi'an University of Technology Xi'an China

5. Shenzhen Tencent Computer System Co., Ltd Shenzhen China

Funder

The National Natural Science Foundation of China

Publisher

Wiley

Subject

Software

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/spe.3001

Reference39 articles.

1. A Systematic Literature Review on Fault Prediction Performance in Software Engineering

2. D'AmbrosM LanzaM RobbesR. An extensive comparison of bug prediction approaches. Paper presented at: Proceedings of the 2010 7th IEEE Working Conference on Mining Software Repositories (MSR). Cape Town South Africa;2010:31‐41; IEEE.

3. Researcher Bias: The Use of Machine Learning in Software Defect Prediction

4. A systematic review of machine learning techniques for software fault prediction

5. GhotraB McIntoshS HassanAE. Revisiting the impact of classification techniques on the performance of defect prediction models. Paper presented at: Proceedings of the 37th International Conference on Software Engineering. Florence Italy; Vol. 1;2015:789‐800; IEEE.

Cited by 2 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. Bug numbers matter: An empirical study of effort‐aware defect prediction using class labels versus bug numbers;Software: Practice and Experience;2024-07-10

2. A Practical Human Labeling Method for Online Just-in-Time Software Defect Prediction;Proceedings of the 31st ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering;2023-11-30

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