Vincent J. Hellendoorn
Google (United Kingdom)(GB)Carnegie Mellon University(US)
Publications by Year
Research Areas
Software Engineering Research, Software Testing and Debugging Techniques, Software Reliability and Analysis Research, Natural Language Processing Techniques, Topic Modeling
Most-Cited Works
- → A systematic evaluation of large language models of code(2022)481 cited
- → Are deep neural networks the best choice for modeling source code?(2017)294 cited
- → Using an LLM to Help With Code Understanding(2024)249 cited
- → On the "naturalness" of buggy code(2016)247 cited
- → Deep learning type inference(2018)185 cited
- Global Relational Models of Source Code(2020)
- → Large Language Models for Test-Free Fault Localization(2024)95 cited
- → When Code Completion Fails: A Case Study on Real-World Completions(2019)77 cited
- → Will They Like This? Evaluating Code Contributions with Language Models(2015)37 cited
- → CAT-LM Training Language Models on Aligned Code And Tests(2023)37 cited