Vincent Hellendoorn
Vincent Hellendoorn
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On the "naturalness" of buggy code
B Ray, V Hellendoorn, S Godhane, Z Tu, A Bacchelli, P Devanbu
Software Engineering (ICSE), 2016 IEEE/ACM 38th International Conference on …, 2016
Are deep neural networks the best choice for modeling source code?
VJ Hellendoorn, P Devanbu
Proceedings of the 2017 11th Joint Meeting on Foundations of Software …, 2017
Will they like this?: Evaluating code contributions with language models
VJ Hellendoorn, PT Devanbu, A Bacchelli
Proceedings of the 12th Working Conference on Mining Software Repositories …, 2015
Cacheca: A cache language model based code suggestion tool
C Franks, Z Tu, P Devanbu, V Hellendoorn
Proceedings of the 37th International Conference on Software Engineering …, 2015
Deep learning type inference
VJ Hellendoorn, C Bird, ET Barr, M Allamanis
Proceedings of the 2018 26th ACM Joint Meeting on European Software …, 2018
Perceived language complexity in GitHub issue discussions and their effect on issue resolution
D Kavaler, S Sirovica, V Hellendoorn, R Aranovich, V Filkov
Proceedings of the 32nd IEEE/ACM international conference on automated …, 2017
When code completion fails: a case study on real-world completions
VJ Hellendoorn, S Proksch, HC Gall, A Bacchelli
Proceedings of the 41st International Conference on Software Engineering …, 2019
Learning Lenient Parsing & Typing via Indirect Supervision
T Ahmed, V Hellendoorn, P Devanbu
arXiv preprint arXiv:1910.05879, 2019
Are My Invariants Valid? A Learning Approach
VJ Hellendoorn, PT Devanbu, O Polozov, M Marron
arXiv preprint arXiv:1903.06089, 2019
On the naturalness of proofs
VJ Hellendoorn, PT Devanbu, MA Alipour
Proceedings of the 2018 26th ACM Joint Meeting on European Software …, 2018
Empirical Software Linguistics: An Investigation of Code Reviews, Recommendations and Faults
VJ Hellendoorn
Artifact Evaluation Committee of ICSE 2019
S Abrahão, H Bagheri, D Benavides, K Blincoe, C Casalnuovo, A Filieri, ...
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