bjEnet: a fast and accurate software bug localization method in natural language semantic space
Author:
Funder
Sichuan Science and Technology Program
National Key Research and Development Program of China
Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s11219-024-09693-1.pdf
Reference70 articles.
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3. Ali, W., Bo, L., Sun, X., et al. (2023). Automated software bug localization enabled by meta-heuristic-based convolutional neural network and improved deep neural network. Expert Systems with Applications, 232, 120562.
4. Chen, C. F. R., Fan, Q., & Panda, R. (2021). Crossvit: Cross-attention multi-scale vision transformer for image classification. In: Proceedings of the IEEE/CVF international conference on computer vision, pp. 357–366.
5. Cheng, M., Sun, Y., Wang, L., et al. (2022). Vista: Vision and scene text aggregation for cross-modal retrieval. In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, pp. 5184–5193.
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