Vahid Majdinasab

According to our database, Vahid Majdinasab authored at least 8 papers between 2023 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Effective test generation using pre-trained Large Language Models and mutation testing.

Arghavan Moradi Dakhel, Amin Nikanjam, Vahid Majdinasab, Foutse Khomh, Michel C. Desmarais

Inf. Softw. Technol., 2024

DeepCodeProbe: Towards Understanding What Models Trained on Code Learn.

Vahid Majdinasab, Amin Nikanjam, Foutse Khomh

CoRR, 2024

Trained Without My Consent: Detecting Code Inclusion In Language Models Trained on Code.

Vahid Majdinasab, Amin Nikanjam, Foutse Khomh

CoRR, 2024

Assessing the Security of GitHub Copilot's Generated Code - A Targeted Replication Study.

Vahid Majdinasab, Michael Joshua Bishop, Shawn Rasheed, Arghavan Moradi Dakhel, Amjed Tahir, Foutse Khomh

Proceedings of the IEEE International Conference on Software Analysis, 2024

2023

GitHub Copilot AI pair programmer: Asset or Liability?

Arghavan Moradi Dakhel, Vahid Majdinasab, Amin Nikanjam, Foutse Khomh, Michel C. Desmarais, Zhen Ming (Jack) Jiang

J. Syst. Softw., September, 2023

Assessing the Security of GitHub Copilot Generated Code - A Targeted Replication Study.

Vahid Majdinasab, Michael Joshua Bishop, Shawn Rasheed, Arghavan Moradi Dakhel, Amjed Tahir, Foutse Khomh

CoRR, 2023

Mutation Testing of Deep Reinforcement Learning Based on Real Faults.

Florian Tambon, Vahid Majdinasab, Amin Nikanjam, Foutse Khomh, Giuliano Antoniol

Proceedings of the IEEE Conference on Software Testing, Verification and Validation, 2023

An Empirical Study on Bugs Inside PyTorch: A Replication Study.

Sharon Chee Yin Ho, Vahid Majdinasab, Mohayeminul Islam, Diego Elias Costa, Emad Shihab, Foutse Khomh, Sarah Nadi, Muhammad Raza

Proceedings of the IEEE International Conference on Software Maintenance and Evolution, 2023