Authorship attribution of source code by using back propagation neural network based on particle swarm optimization.

Yang X, Xu G, Li Q, Guo Y, Zhang M.

Open source

DOI: 10.1371/journal.pone.0187204
Published: 2017-11-02
Container: PLoS One
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.1371/journal.pone.0187204,
  title = {Authorship attribution of source code by using back propagation neural network based on particle swarm optimization.},
  author = {Yang X and  Xu G and  Li Q and  Guo Y and  Zhang M.},
  year = {2017},
  journal = {PLoS One},
  doi = {10.1371/journal.pone.0187204},
  url = {https://doi.org/10.1371/journal.pone.0187204}
}

RIS

TY  - JOUR
TI  - Authorship attribution of source code by using back propagation neural network based on particle swarm optimization.
AU  - Yang X
AU  -  Xu G
AU  -  Li Q
AU  -  Guo Y
AU  -  Zhang M.
PY  - 2017
JO  - PLoS One
DO  - 10.1371/journal.pone.0187204
UR  - https://doi.org/10.1371/journal.pone.0187204
ER  -

APA

X, Y., G, X., Q, L., Y, G., & M., Z. (2017). Authorship attribution of source code by using back propagation neural network based on particle swarm optimization.. PLoS One. https://doi.org/10.1371/journal.pone.0187204

Source records

europe-pmc · retrieved 2026-09-25T14:56:55.667Z
doaj · retrieved 2026-09-25T14:56:55.671Z