Deeptest: Automated testing of deep-neural-network-driven autonomous cars Y Tian, K Pei, S Jana, B Ray Proceedings of the 40th international conference on software engineering …, 2018 | 1535 | 2018 |
Unified pre-training for program understanding and generation WU Ahmad, S Chakraborty, B Ray, KW Chang NAACL, 2021 | 634 | 2021 |
A large scale study of programming languages and code quality in github B Ray, D Posnett, V Filkov, P Devanbu Proceedings of the 22nd ACM SIGSOFT international symposium on foundations …, 2014 | 566 | 2014 |
Gender and tenure diversity in GitHub teams B Vasilescu, D Posnett, B Ray, MGJ van den Brand, A Serebrenik, ... Proceedings of the 33rd annual ACM conference on human factors in computing …, 2015 | 430 | 2015 |
Deep learning based vulnerability detection: Are we there yet? S Chakraborty, R Krishna, Y Ding, B Ray IEEE Transactions on Software Engineering 48 (9), 3280-3296, 2021 | 417 | 2021 |
A transformer-based approach for source code summarization WU Ahmad, S Chakraborty, B Ray, KW Chang arXiv preprint arXiv:2005.00653, 2020 | 378 | 2020 |
An empirical study of api stability and adoption in the android ecosystem T McDonnell, B Ray, M Kim 2013 IEEE International Conference on Software Maintenance, 70-79, 2013 | 361 | 2013 |
PTask: operating system abstractions to manage GPUs as compute devices CJ Rossbach, J Currey, M Silberstein, B Ray, E Witchel Proceedings of the Twenty-Third ACM Symposium on Operating Systems …, 2011 | 357 | 2011 |
On the" naturalness" of buggy code B Ray, V Hellendoorn, S Godhane, Z Tu, A Bacchelli, P Devanbu Proceedings of the 38th International Conference on Software Engineering …, 2016 | 337* | 2016 |
Using frankencerts for automated adversarial testing of certificate validation in SSL/TLS implementations C Brubaker, S Jana, B Ray, S Khurshid, V Shmatikov 2014 IEEE Symposium on Security and Privacy, 114-129, 2014 | 285* | 2014 |
Neuzz: Efficient fuzzing with neural program smoothing D She, K Pei, D Epstein, J Yang, B Ray, S Jana 2019 IEEE Symposium on Security and Privacy (SP), 803-817, 2019 | 275 | 2019 |
Whozthat? evolving an ecosystem for context-aware mobile social networks A Beach, M Gartrell, S Akkala, J Elston, J Kelley, K Nishimoto, B Ray, ... IEEE network 22 (4), 50-55, 2008 | 258 | 2008 |
Metric learning for adversarial robustness C Mao, Z Zhong, J Yang, C Vondrick, B Ray Advances in Neural Information Processing Systems 32, 2019 | 216 | 2019 |
Codit: Code editing with tree-based neural models S Chakraborty, Y Ding, M Allamanis, B Ray IEEE Transactions on Software Engineering 48 (4), 1385-1399, 2020 | 167* | 2020 |
Some from here, some from there: Cross-project code reuse in github M Gharehyazie, B Ray, V Filkov 2017 IEEE/ACM 14th International Conference on Mining Software Repositories …, 2017 | 110 | 2017 |
Retrieval augmented code generation and summarization MR Parvez, WU Ahmad, S Chakraborty, B Ray, KW Chang arXiv preprint arXiv:2108.11601, 2021 | 102 | 2021 |
An empirical study of supplementary bug fixes J Park, M Kim, B Ray, DH Bae 2012 9th IEEE Working Conference on Mining Software Repositories (MSR), 40-49, 2012 | 100 | 2012 |
Learning approximate execution semantics from traces for binary function similarity K Pei, Z Xuan, J Yang, S Jana, B Ray IEEE Transactions on Software Engineering, 2022 | 93* | 2022 |
Multitask learning strengthens adversarial robustness C Mao, A Gupta, V Nitin, B Ray, S Song, J Yang, C Vondrick Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020 | 90 | 2020 |
Natgen: generative pre-training by “naturalizing” source code S Chakraborty, T Ahmed, Y Ding, PT Devanbu, B Ray Proceedings of the 30th ACM joint european software engineering conference …, 2022 | 89 | 2022 |