Transfer learning with BERT models classifies quantum software engineering challenges from Stack Overflow posts into six categories at 95% average accuracy, outperforming traditional ML baselines by 6% and adding SHAP interpretability.
Ma- chine learning for requirements engineering (ml4re): A systematic literature review complemented by practi- tioners’ voices from stack overflow
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An Improved Quantum Software Challenges Classification Approach using Transfer Learning and Explainable AI
Transfer learning with BERT models classifies quantum software engineering challenges from Stack Overflow posts into six categories at 95% average accuracy, outperforming traditional ML baselines by 6% and adding SHAP interpretability.