Prompt Based Intelligent Service Method for Public Code Review
Author:
Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-97-5575-2_41
Reference8 articles.
1. Xu, B., Hoang, T., Sharma, A., et al.: Post2Vec: learning distributed representations of stack overflow posts. IEEE Trans. Softw. Eng. 48(9), 3423–3441 (2022)
2. Li, C., Xu, L., Yan, M., Lei, Y.: TagDC: a tag recommendation method for software information sites with a combination of deep learning and collaborative filtering. J. Syst. Softw. 170, 110783 (2020)
3. He, J., Xu, B., Yang, Z., et al.: PTM4Tag: sharpening tag recommendation of stack overflow posts with pre-trained models. In: ICPC 2022, pp. 1–11 (2022)
4. Chen, L., Abreu, R., Akomolede, T., et al.: Leveraging test plan quality to improve code review efficacy. In: ESEC/FSE 2022, pp. 1320–1330 (2022)
5. Li, L., Wang, P., Zheng, X., et al.: Dual-interactive fusion for code-mixed deep representation learning in tag recommendation. Inf. Fusion 99, 101862 (2023)
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