Generating and Reviewing Programming Codes with Large Language Models: A Systematic Mapping Study
Abstract
References
Index Terms
- Generating and Reviewing Programming Codes with Large Language Models: A Systematic Mapping Study
Recommendations
Programming Is Hard - Or at Least It Used to Be: Educational Opportunities and Challenges of AI Code Generation
SIGCSE 2023: Proceedings of the 54th ACM Technical Symposium on Computer Science Education V. 1The introductory programming sequence has been the focus of much research in computing education. The recent advent of several viable and freely-available AI-driven code generation tools present several immediate opportunities and challenges in this ...
Do Large Language Models Pay Similar Attention Like Human Programmers When Generating Code?
Large Language Models (LLMs) have recently been widely used for code generation. Due to the complexity and opacity of LLMs, little is known about how these models generate code. We made the first attempt to bridge this knowledge gap by investigating ...
Lost in Translation: A Study of Bugs Introduced by Large Language Models while Translating Code
ICSE '24: Proceedings of the IEEE/ACM 46th International Conference on Software EngineeringCode translation aims to convert source code from one programming language (PL) to another. Given the promising abilities of large language models (LLMs) in code synthesis, researchers are exploring their potential to automate code translation. The ...
Comments
Information & Contributors
Information
Published In
![cover image ACM Other conferences](/cms/asset/bb7c17ad-8939-4044-8807-c96d19a4a52b/3658271.cover.jpg)
Publisher
Association for Computing Machinery
New York, NY, United States
Publication History
Check for updates
Author Tags
Qualifiers
- Research-article
- Research
- Refereed limited
Funding Sources
- Conselho Nacional de Desenvolvimento Científico e Tecnológico
- FAPERJ
- FAPERJ
- Universidade Federal do Estado do Rio de Janeiro
- CAPES (Programa de Apoio à Disseminação de Informação Científica e Tecnológica - PADICT e Portal de Periódicos da CAPES)
Conference
Acceptance Rates
Contributors
Other Metrics
Bibliometrics & Citations
Bibliometrics
Article Metrics
- 0Total Citations
- 58Total Downloads
- Downloads (Last 12 months)58
- Downloads (Last 6 weeks)23
Other Metrics
Citations
View Options
Get Access
Login options
Check if you have access through your login credentials or your institution to get full access on this article.
Sign inFull Access
View options
View or Download as a PDF file.
PDFeReader
View online with eReader.
eReaderHTML Format
View this article in HTML Format.
HTML Format