Amin Nikanjam

DeepCodeProbe: Towards Understanding What Models Trained on Code Learn

2024 · arXiv (Cornell University)

Machine learning models trained on code and related artifacts offer valuable support for software maintenance but suffer from interpretability issues due to their complex internal variables. These concerns are particularly significant in safety-critical applications where …