Using Large Language Models to Enhance Programming Error Messages
Aalto University · Abilene Christian University · +2 more institutions
Abstract
A key part of learning to program is learning to understand programming error messages. They can be hard to interpret and identifying the cause of errors can be time-consuming. One factor in this challenge is that the messages are typically intended for an audience that already knows how to program, or even for programming environments that then use the information to highlight areas in code. Researchers have been working on making these errors more novice friendly since the 1960s, however progress has been slow. The present work contributes to this stream of research by using large language models to enhance programming error messages with explanations of the errors and suggestions on how to fix them. Large…
Citation impact
- FWCI
- 55.55
- Percentile
- 100%
- References
- 28
Authors
7Topics & keywords
- Computer science
- Interpretability
- Programming paradigm
- Key (lock)
- Language model
- Artificial intelligence
- Programming language
- Human–computer interaction
- Quality Education