BTLink : automatic link recovery between issues and commits based on pre-trained BERT model
Author:
Funder
National Natural Science Foundation of China
Natural Science Foundation of Jiangsu Province
Publisher
Springer Science and Business Media LLC
Subject
Software
Link
https://link.springer.com/content/pdf/10.1007/s10664-023-10342-7.pdf
Reference112 articles.
1. Adoma AF, Henry NM, Chen W (2020) Comparative analyses of bert, roberta, distilbert, and xlnet for text-based emotion recognition. In: 2020 17th International Computer Conference on Wavelet Active Media Technology and Information Processing (ICCWAMTIP), IEEE, pp 117–121
2. Ahmad WU, Chakraborty S, Ray B, Chang KW (2021) Unified pre-training for program understanding and generation. arXiv preprint arXiv:2103.06333
3. Ahmed T, Ledesma NR, Devanbu P (2021) Synfix: Automatically fixing syntax errors using compiler diagnostics. arXiv preprint arXiv:2104.14671
4. Amershi S, Begel A, Bird C, DeLine R, Gall H, Kamar E, Nagappan N, Nushi B, Zimmermann T (2019) Software engineering for machine learning: A case study. In: 2019 IEEE/ACM 41st International Conference on Software Engineering: Software Engineering in Practice (ICSE-SEIP), IEEE, pp 291–300
5. Anvik J, Hiew L, Murphy GC (2006) Who should fix this bug? In: Proceedings of the 28th international conference on Software engineering, pp 361–370
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1. Deep semi-supervised learning for recovering traceability links between issues and commits;Journal of Systems and Software;2024-10
2. An LLM-based Approach to Recover Traceability Links between Security Requirements and Goal Models;Proceedings of the 28th International Conference on Evaluation and Assessment in Software Engineering;2024-06-18
3. MTLink: Adaptive multi-task learning based pre-trained language model for traceability link recovery between issues and commits;Journal of King Saud University - Computer and Information Sciences;2024-02
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