An integrated graph neural network model for joint software defect prediction and code quality assessment.

Dai P, Zhu H, Wu J, He H

Open source

DOI
10.1038/s41598-025-31209-5
Published
2025 Dec 11
Container
Scientific reports
Publisher
Not recorded
Open access
yes

Credibility signals

limited evidence Score 45/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.

Show all credibility signals

Cite this work

BibTeX

@article{allodium:10.1038/s41598-025-31209-5,
  title = {An integrated graph neural network model for joint software defect prediction and code quality assessment.},
  author = {Dai P and Zhu H and Wu J and He H},
  year = {2025},
  journal = {Scientific reports},
  doi = {10.1038/s41598-025-31209-5},
  url = {https://doi.org/10.1038/s41598-025-31209-5}
}

RIS

TY  - JOUR
TI  - An integrated graph neural network model for joint software defect prediction and code quality assessment.
AU  - Dai P
AU  - Zhu H
AU  - Wu J
AU  - He H
PY  - 2025
JO  - Scientific reports
DO  - 10.1038/s41598-025-31209-5
UR  - https://doi.org/10.1038/s41598-025-31209-5
ER  - 

APA

P, D., H, Z., J, W., & H, H. (2025). An integrated graph neural network model for joint software defect prediction and code quality assessment.. Scientific reports. https://doi.org/10.1038/s41598-025-31209-5

Source records