by Martin White, Michele Tufano, Matias Martinez, Martin Monperrus and Denys Poshyvanyk
Cite it:
Martin White, Michele Tufano, Matias Martinez, Martin Monperrus and Denys Poshyvanyk, "Sorting and Transforming Program Repair Ingredients via Deep Learning Code Similarities", In Proceedings of the IEEE International Conference on Software Analysis, Evolution and Reengineering, 2019.
https://doi.org/10.1109/SANER.2019.8668043
https://doi.org/10.1109/SANER.2019.8668043
Sorting and Transforming Program Repair Ingredients via Deep Learning Code Similarities
https://arxiv.org/pdf/1707.04742.pdf
https://arxiv.org/pdf/1707.04742.pdf
[Sorting and Transforming Program Repair Ingredients via Deep Learning Code Similarities](https://arxiv.org/pdf/1707.04742.pdf) ([doi:10.1109/SANER.2019.8668043](https://doi.org/10.1109/SANER.2019.8668043))
\href{https://arxiv.org/pdf/1707.04742.pdf}{Sorting and Transforming Program Repair Ingredients via Deep Learning Code Similarities} % \cite{1707.04742}
Bibtex Entry:
@inproceedings{1707.04742, title = {Sorting and Transforming Program Repair Ingredients via Deep Learning Code Similarities}, booktitle = {Proceedings of the IEEE International Conference on Software Analysis, Evolution and Reengineering}, year = {2019}, doi = {10.1109/SANER.2019.8668043}, author = {Martin White and Michele Tufano and Matias Martinez and Martin Monperrus and Denys Poshyvanyk}, url = {https://arxiv.org/pdf/1707.04742.pdf}, }
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