Semantically Enhanced Software Traceability Using Deep Learning Techniques. Guo, J., Cheng, J., & Cleland-Huang, J. In Proceedings of the 39th International Conference on Software Engineering, pages 3–14, Piscataway, NJ, USA, 2017. IEEE Press. ![Semantically Enhanced Software Traceability Using Deep Learning Techniques [link]](https://bibbase.org/img/filetypes/link.svg "link")
Paper doi bibtex @inproceedings{guo_semantically_2017,
address = {Piscataway, NJ, USA},
title = {Semantically {Enhanced} {Software} {Traceability} {Using} {Deep} {Learning} {Techniques}},
isbn = {978-1-5386-3868-2},
url = {https://doi.org/10.1109/ICSE.2017.9},
doi = {10.1109/ICSE.2017.9},
booktitle = {Proceedings of the 39th {International} {Conference} on {Software} {Engineering}},
publisher = {IEEE Press},
author = {Guo, Jin and Cheng, Jinghui and Cleland-Huang, Jane},
year = {2017},
keywords = {deep learning, recurrent neural network, semantic representation, traceability},
pages = {3--14},
}
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