%0 Conference Paper %1 conf/kbse/EghbaliP22 %A Eghbali, Aryaz %A Pradel, Michael %B ASE %D 2022 %I ACM %K dblp %P 28:1-28:12 %T CrystalBLEU: Precisely and Efficiently Measuring the Similarity of Code. %U http://dblp.uni-trier.de/db/conf/kbse/ase2022.html#EghbaliP22 %@ 978-1-4503-9475-8

@inproceedings{conf/kbse/EghbaliP22, added-at = {2023-01-15T00:00:00.000+0100}, author = {Eghbali, Aryaz and Pradel, Michael}, biburl = {https://www.bibsonomy.org/bibtex/25b3731b5fe076ea69c1dbca971446e8f/dblp}, booktitle = {ASE}, crossref = {conf/kbse/2022}, ee = {https://doi.org/10.1145/3551349.3556903}, interhash = {6605173cc536f02237babcad327285c6}, intrahash = {5b3731b5fe076ea69c1dbca971446e8f}, isbn = {978-1-4503-9475-8}, keywords = {dblp}, pages = {28:1-28:12}, publisher = {ACM}, timestamp = {2024-04-09T23:52:18.000+0200}, title = {CrystalBLEU: Precisely and Efficiently Measuring the Similarity of Code.}, url = {http://dblp.uni-trier.de/db/conf/kbse/ase2022.html#EghbaliP22}, year = 2022 }