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In recent years, JavaScript has become the most widely used programming language, especially in web development.
JavaScript: The Good Parts: The Good Parts
Douglas Crockford. 2008 · 2008
Earlier work this paper cites.
Genprog: A generic method for automatic software repair
Claire Le Goues, ThanhVu Nguyen, Stephanie Forrest, and Westley Weimer. 2011 · 2011
Earlier work this paper cites.
Semfix: Program repair via semantic analysis. In 2013 35th International Conference on Software Engineering (ICSE) . IEEE, 772–781
Hoang Duong Thien Nguyen, Dawei Qi, Abhik Roychoudhury, and Satish Chandra. 2013 · 2013
Earlier work this paper cites.
Program synthesis with large language models
Jacob Austin, Augustus Odena, Maxwell Nye, Maarten Bosma, Henryk Michalewski, David Dohan, Ellen Jiang, Carrie Cai, Michael Terry, Quoc Le, et al · 2021
Earlier work this paper cites.
Automatic program repair
Claire Le Goues, Michael Pradel, Abhik Roychoudhury, and Satish Chandra. 2021 · 2021
Earlier work this paper cites.
Codegen: An open large language model for code with multi-turn program synthesis
Erik Nijkamp, Bo Pang, Hiroaki Hayashi, Lifu Tu, Huan Wang, Yingbo Zhou, Silvio Savarese, and Caiming Xiong. 2022 · 2022
Earlier work this paper cites.
Asleep at the keyboard? assessing the security of github copilot’s code contributions. In 2022 IEEE Symposium on Security and Privacy (SP) . IEEE, 754–768
Hammond Pearce, Baleegh Ahmad, Benjamin Tan, Brendan Dolan-Gavitt, and Ramesh Karri. 2022 · 2022
Earlier work this paper cites.
An Empirical Study of Code Smells in Transformer-based Code Generation Techniques. In 2022 IEEE 22nd International Working Conference on Source Code Analysis and Manipulation (SCAM) . IEEE, 71–82
Mohammed Latif Siddiq, Shafayat H Majumder, Maisha R Mim, Sourov Jajodia, and Joanna CS Santos. 2022 · 2022
Cited alongside, same era.
A systematic evaluation of large language models of code. In Proceedings of the 6th ACM SIGPLAN International Symposium on Machine Programming . 1–10
Frank F Xu, Uri Alon, Graham Neubig, and Vincent Josua Hellendoorn. 2022 · 2022
Cited alongside, same era.
Fixing Hardware Security Bugs with Large Language Models
Baleegh Ahmad, Shailja Thakur, Benjamin Tan, Ramesh Karri, and Hammond Pearce. 2023 · 2023
Cited alongside, same era.
Palm: Scaling language modeling with pathways
Aakanksha Chowdhery, Sharan Narang, Jacob Devlin, Maarten Bosma, Gaurav Mishra, Adam Roberts, Paul Barham, Hyung Won Chung, Charles Sutton, Sebastian Gehrmann, et al · 2023
Cited alongside, same era.
Examining zero-shot vulnerability repair with large language models. In 2023 IEEE Symposium on Security and Privacy (SP) . IEEE, 2339–2356
Hammond Pearce, Benjamin Tan, Baleegh Ahmad, Ramesh Karri, and Brendan Dolan-Gavitt. 2023 · 2023
Later among the works it cites.
Lost at c: A user study on the security implications of large language model code assistants
Gustavo Sandoval, Hammond Pearce, Teo Nys, Ramesh Karri, Siddharth Garg, and Brendan Dolan-Gavitt. 2023 · 2023
Later among the works it cites.
CWE Top 25 Most Dangerous Software Weaknesses
T. M. C. (MITRE). 2023 · 2023
Later among the works it cites.
ZeroLeak: Using LLMs for Scalable and Cost Effective Side-Channel Patching
M Caner Tol and Berk Sunar. 2023 · 2023
Later among the works it cites.
How Effective Are Neural Networks for Fixing Security Vulnerabilities
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Large language models for code: Security hardening and adversarial testing. In Proceedings of the 2023 ACM SIGSAC Conference on Computer and Communications Security . 1865–1879
Jingxuan He and Martin Vechev. 2023 · 2023
Cited alongside, same era.
ChatGPT
OpenAI. 2023 · 2023
Cited alongside, same era.
Yi Wu, Nan Jiang, Hung Viet Pham, Thibaud Lutellier, Jordan Davis, Lin Tan, Petr Babkin, and Sameena Shah. 2023 · 2023
Later among the works it cites.
A survey of large language models
Wayne Xin Zhao, Kun Zhou, Junyi Li, Tianyi Tang, Xiaolei Wang, Yupeng Hou, Yingqian Min, Beichen Zhang, Junjie Zhang, Zican Dong, et al · 2023
Later among the works it cites.