default search action
Vincent J. Hellendoorn
Person information
- affiliation: Carnegie Mellon University, Pittsburgh, PA, USA
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
2020 – today
- 2024
- [c25]Aidan Z. H. Yang
, Claire Le Goues
Large Language Models for Test-Free Fault Localization. ICSE 2024: 17:1-17:12 - [c24]Daye Nam
Using an LLM to Help With Code Understanding. ICSE 2024: 97:1-97:13 - [c23]Nikitha Rao
AI for Low-Code for AI. IUI 2024: 837-852 - [c22]Kamel Alrashedy, Vincent J. Hellendoorn, Alessandro Orso:
Learning Defect Prediction from Unrealistic Data. SANER 2024: 556-567 - [i18]Aidan Z. H. Yang, Sophia Kolak, Vincent J. Hellendoorn, Ruben Martins, Claire Le Goues:
Revisiting Unnaturalness for Automated Program Repair in the Era of Large Language Models. CoRR abs/2404.15236 (2024) - 2023
- [j4]Md. Rafiqul Islam Rabin
Memorization and generalization in neural code intelligence models. Inf. Softw. Technol. 153: 107066 (2023) - [c21]Machel Reid, Vincent Josua Hellendoorn, Graham Neubig:
DiffusER: Diffusion via Edit-based Reconstruction. ICLR 2023 - [c20]Daye Nam
Improving API Knowledge Discovery with ML: A Case Study of Comparable API Methods. ICSE 2023: 1890-1906 - [c19]Nikitha Rao, Kush Jain, Uri Alon, Claire Le Goues
CAT-LM Training Language Models on Aligned Code And Tests. ASE 2023: 409-420 - [i17]Nikitha Rao, Jason Tsay, Kiran Kate, Vincent J. Hellendoorn, Martin Hirzel:
AI for Low-Code for AI. CoRR abs/2305.20015 (2023) - [i16]Manisha Mukherjee, Vincent J. Hellendoorn:
Stack Over-Flowing with Results: The Case for Domain-Specific Pre-Training Over One-Size-Fits-All Models. CoRR abs/2306.03268 (2023) - [i15]Daye Nam, Andrew Macvean, Vincent J. Hellendoorn, Bogdan Vasilescu, Brad A. Myers:
In-IDE Generation-based Information Support with a Large Language Model. CoRR abs/2307.08177 (2023) - [i14]Nikitha Rao, Kush Jain, Uri Alon, Claire Le Goues, Vincent J. Hellendoorn:
CAT-LM: Training Language Models on Aligned Code And Tests. CoRR abs/2310.01602 (2023) - [i13]Aidan Z. H. Yang, Ruben Martins, Claire Le Goues, Vincent J. Hellendoorn:
Large Language Models for Test-Free Fault Localization. CoRR abs/2310.01726 (2023) - [i12]Kamel Alrashedy, Vincent J. Hellendoorn, Alessandro Orso:
Learning Defect Prediction from Unrealistic Data. CoRR abs/2311.00931 (2023) - 2022
- [j3]Vincent J. Hellendoorn, Anand Ashok Sawant:
The growing cost of deep learning for source code. Commun. ACM 65(1): 31-33 (2022) - [j2]Annibale Panichella
Test smells 20 years later: detectability, validity, and reliability. Empir. Softw. Eng. 27(7): 170 (2022) - [c18]Frank F. Xu, Junxian He, Graham Neubig, Vincent Josua Hellendoorn:
Capturing Structural Locality in Non-parametric Language Models. ICLR 2022 - [c17]Nikitha Rao, Jason Tsay, Martin Hirzel, Vincent J. Hellendoorn:
Comments on Comments: Where Code Review and Documentation Meet. MSR 2022: 18-22 - [c16]Rajeswari Hita Kambhamettu, John Billos, Tomi Oluwaseun-Apo, Benjamin Gafford, Rohan Padhye
On the Naturalness of Fuzzer-Generated Code. MSR 2022: 506-510 - [c15]Frank F. Xu, Uri Alon, Graham Neubig, Vincent Josua Hellendoorn:
A systematic evaluation of large language models of code. MAPS@PLDI 2022: 1-10 - [i11]Frank F. Xu, Uri Alon, Graham Neubig, Vincent J. Hellendoorn:
A Systematic Evaluation of Large Language Models of Code. CoRR abs/2202.13169 (2022) - [i10]Nikitha Rao, Jason Tsay, Martin Hirzel, Vincent J. Hellendoorn:
Comments on Comments: Where Code Review and Documentation Meet. CoRR abs/2204.00107 (2022) - [i9]David Bieber, Kensen Shi, Petros Maniatis, Charles Sutton, Vincent J. Hellendoorn, Daniel D. Johnson, Daniel Tarlow:
A Library for Representing Python Programs as Graphs for Machine Learning. CoRR abs/2208.07461 (2022) - [i8]Machel Reid, Vincent J. Hellendoorn, Graham Neubig:
DiffusER: Discrete Diffusion via Edit-based Reconstruction. CoRR abs/2210.16886 (2022) - 2021
- [j1]Toufique Ahmed
Learning lenient parsing & typing via indirect supervision. Empir. Softw. Eng. 26(2): 29 (2021) - [c14]Zimin Chen, Vincent J. Hellendoorn, Pascal Lamblin, Petros Maniatis, Pierre-Antoine Manzagol, Daniel Tarlow, Subhodeep Moitra:
PLUR: A Unifying, Graph-Based View of Program Learning, Understanding, and Repair. NeurIPS 2021: 23089-23101 - [c13]Md. Rafiqul Islam Rabin
Understanding neural code intelligence through program simplification. ESEC/SIGSOFT FSE 2021: 441-452 - [c12]Vincent J. Hellendoorn, Jason Tsay, Manisha Mukherjee, Martin Hirzel:
Towards automating code review at scale. ESEC/SIGSOFT FSE 2021: 1479-1482 - [i7]Md. Rafiqul Islam Rabin
Understanding Neural Code Intelligence Through Program Simplification. CoRR abs/2106.03353 (2021) - [i6]Md. Rafiqul Islam Rabin
Memorization and Generalization in Neural Code Intelligence Models. CoRR abs/2106.08704 (2021) - [i5]Frank F. Xu, Junxian He, Graham Neubig, Vincent J. Hellendoorn:
Capturing Structural Locality in Non-parametric Language Models. CoRR abs/2110.02870 (2021) - 2020
- [c11]Vincent J. Hellendoorn, Charles Sutton, Rishabh Singh, Petros Maniatis, David Bieber:
Global Relational Models of Source Code. ICLR 2020 - [c10]Annibale Panichella, Sebastiano Panichella
Revisiting Test Smells in Automatically Generated Tests: Limitations, Pitfalls, and Opportunities. ICSME 2020: 523-533 - [c9]Yangruibo Ding
Patching as Translation: the Data and the Metaphor. ASE 2020: 275-286 - [i4]Yangruibo Ding, Baishakhi Ray, Premkumar T. Devanbu, Vincent J. Hellendoorn:
Patching as Translation: the Data and the Metaphor. CoRR abs/2008.10707 (2020)
2010 – 2019
- 2019
- [c8]Vincent J. Hellendoorn, Sebastian Proksch, Harald C. Gall
When code completion fails: a case study on real-world completions. ICSE 2019: 960-970 - [i3]Vincent J. Hellendoorn, Premkumar T. Devanbu, Oleksandr Polozov, Mark Marron:
Are My Invariants Valid? A Learning Approach. CoRR abs/1903.06089 (2019) - [i2]Toufique Ahmed, Vincent J. Hellendoorn, Premkumar T. Devanbu:
Learning Lenient Parsing & Typing via Indirect Supervision. CoRR abs/1910.05879 (2019) - 2018
- [c7]Vincent J. Hellendoorn, Christian Bird, Earl T. Barr
Deep learning type inference. ESEC/SIGSOFT FSE 2018: 152-162 - [c6]Vincent J. Hellendoorn, Premkumar T. Devanbu, Mohammad Amin Alipour
On the naturalness of proofs. ESEC/SIGSOFT FSE 2018: 724-728 - 2017
- [c5]David Kavaler, Sasha Sirovica, Vincent J. Hellendoorn, Raúl Aranovich, Vladimir Filkov:
Perceived language complexity in GitHub issue discussions and their effect on issue resolution. ASE 2017: 72-83 - [c4]Vincent J. Hellendoorn, Premkumar T. Devanbu:
Are deep neural networks the best choice for modeling source code? ESEC/SIGSOFT FSE 2017: 763-773 - 2016
- [c3]Baishakhi Ray, Vincent J. Hellendoorn, Saheel Godhane, Zhaopeng Tu, Alberto Bacchelli, Premkumar T. Devanbu
On the "naturalness" of buggy code. ICSE 2016: 428-439 - 2015
- [c2]Christine Franks, Zhaopeng Tu, Premkumar T. Devanbu
CACHECA: A Cache Language Model Based Code Suggestion Tool. ICSE (2) 2015: 705-708 - [c1]Vincent J. Hellendoorn, Premkumar T. Devanbu
Will They Like This? Evaluating Code Contributions with Language Models. MSR 2015: 157-167 - [i1]Baishakhi Ray, Vincent J. Hellendoorn, Zhaopeng Tu, Connie Nguyen, Saheel Godhane, Alberto Bacchelli, Premkumar T. Devanbu:
On the "Naturalness" of Buggy Code. CoRR abs/1506.01159 (2015)
Coauthor Index
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from ,
, and
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and
to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from .
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-08-20 20:32 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by: