An Automated Approach for the Prediction of the Severity Level of Bug Reports Using GPT-2

Mohsin kamal, Sikandar Ali, Anam Nasir, Ali Samad, Samad Basser, Azeem Irshad

DOI: 10.1155/2022/2892401
Published: 2022-05-29
Container: Security and Communication Networks
Publisher: Wiley
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1155/2022/2892401,
  title = {An Automated Approach for the Prediction of the Severity Level of Bug Reports Using GPT-2},
  author = {Mohsin kamal and Sikandar Ali and Anam Nasir and Ali Samad and Samad Basser and Azeem Irshad},
  year = {2022},
  journal = {Security and Communication Networks},
  doi = {10.1155/2022/2892401},
  url = {https://doi.org/10.1155/2022/2892401}
}

RIS

TY  - JOUR
TI  - An Automated Approach for the Prediction of the Severity Level of Bug Reports Using GPT-2
AU  - Mohsin kamal
AU  - Sikandar Ali
AU  - Anam Nasir
AU  - Ali Samad
AU  - Samad Basser
AU  - Azeem Irshad
PY  - 2022
JO  - Security and Communication Networks
DO  - 10.1155/2022/2892401
UR  - https://doi.org/10.1155/2022/2892401
ER  -

APA

kamal, M., Ali, S., Nasir, A., Samad, A., Basser, S., & Irshad, A. (2022). An Automated Approach for the Prediction of the Severity Level of Bug Reports Using GPT-2. Security and Communication Networks. https://doi.org/10.1155/2022/2892401

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crossref · retrieved 2026-09-25T01:55:57.224Z