Chakraborty, Saikat, Ahmed, Toufique, Ding, Yangruibo, Devanbu, Premkumar T., and Ray, Baishakhi. NatGen: generative pre-training by “naturalizing” source code. Retrieved from https://par.nsf.gov/biblio/10397923. ESEC/FSE 2022: Proceedings of the 30th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering . Web. doi:10.1145/3540250.3549162.

Chakraborty, Saikat, Ahmed, Toufique, Ding, Yangruibo, Devanbu, Premkumar T., & Ray, Baishakhi. NatGen: generative pre-training by “naturalizing” source code. ESEC/FSE 2022: Proceedings of the 30th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, (). Retrieved from https://par.nsf.gov/biblio/10397923. https://doi.org/10.1145/3540250.3549162

Chakraborty, Saikat, Ahmed, Toufique, Ding, Yangruibo, Devanbu, Premkumar T., and Ray, Baishakhi. "NatGen: generative pre-training by “naturalizing” source code". ESEC/FSE 2022: Proceedings of the 30th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering (). Country unknown/Code not available. https://doi.org/10.1145/3540250.3549162. https://par.nsf.gov/biblio/10397923.

@article{osti_10397923,
place = {Country unknown/Code not available}, title = {NatGen: generative pre-training by “naturalizing” source code}, url = {https://par.nsf.gov/biblio/10397923}, DOI = {10.1145/3540250.3549162}, abstractNote = {}, journal = {ESEC/FSE 2022: Proceedings of the 30th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering}, author = {Chakraborty, Saikat and Ahmed, Toufique and Ding, Yangruibo and Devanbu, Premkumar T. and Ray, Baishakhi}, }