Prompt Engineering for Python Code Debugging with Large Language Models: A Comparative Analysis of Zero-Shot, Few-Shot, and Chain-of-Thought Approaches
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| Title: | Prompt Engineering for Python Code Debugging with Large Language Models: A Comparative Analysis of Zero-Shot, Few-Shot, and Chain-of-Thought Approaches |
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| Authors: | Darmawan, Raihan Putra, Wibowo, Suryo Adhi |
| Source: | 2025 IEEE International Symposium on Future Telecommunication Technologies (SOFTT) ; page 391-395 |
| Publisher Information: | IEEE |
| Publication Year: | 2025 |
| Document Type: | conference object |
| Language: | unknown |
| DOI: | 10.1109/softt67007.2025.11213109 |
| Availability: | https://doi.org/10.1109/softt67007.2025.11213109 http://xplorestaging.ieee.org/ielx8/11212846/11212843/11213109.pdf?arnumber=11213109 |
| Rights: | https://doi.org/10.15223/policy-029 ; https://doi.org/10.15223/policy-037 |
| Accession Number: | edsbas.61361D78 |
| Database: | BASE |
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