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Paper Abstract and Keywords
Presentation 2025-06-23 10:20
Evaluation of the impact of CoT on Automatic-Program-Repair using Zero-Shot prompting
Keisuke Kitamura, So Onishi, Akihito Kohiga, Takahiro Koita (Doshisha Univ.) NC2025-19 IBISML2025-19
Abstract (in Japanese) (See Japanese page) 
(in English) In recent years, the use of Large Language Model (LLM) has grown rapidly alongside technological advancements. However, the output results of LLM are often influenced by the input information and format, leading to issues where the expected output is not obtained. Prompt engineering is a method to address these issues, enabling the extraction of desired outputs from LLM. Additionally, APR (Automatic Program Repair) has seen significant performance improvements with the adoption of LLM, and the combination of prompt engineering techniques with APR is gaining attention. In this reserch, we evaluated whether incorporating Chain-of-Thought Prompting (CoT Prompting) into Zero-Shot Prompting, one of the prompt engineering techniques, affects the performance of LLM-based APR. The results showed no significant performance difference between the two methods. However, the output results indicated that the latter method provided a more step-by-step explanation of bug fixes.
Keyword (in Japanese) (See Japanese page) 
(in English) LLM (large language model) / prompt engineering / APR (automatic program repair) / / / / /  
Reference Info. IEICE Tech. Rep., vol. 125, no. 82, IBISML2025-19, pp. 112-119, June 2025.
Paper # IBISML2025-19 
Date of Issue 2025-06-14 (NC, IBISML) 
ISSN Online edition: ISSN 2432-6380
Copyright
and
reproduction		 All rights are reserved and no part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopy, recording, or any information storage and retrieval system, without permission in writing from the publisher. Notwithstanding, instructors are permitted to photocopy isolated articles for noncommercial classroom use without fee. (License No.: 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034)
Download PDF NC2025-19 IBISML2025-19

Conference Information
Committee NC IBISML IPSJ-BIO IPSJ-MPS  
Conference Date 2025-06-21 - 2025-06-23 
Place (in Japanese) (See Japanese page) 
Place (in English) Univ. Ryukyus 
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To IBISML 
Conference Code 2025-06-NC-IBISML-BIO-MPS 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Evaluation of the impact of CoT on Automatic-Program-Repair using Zero-Shot prompting 
Sub Title (in English)  
Keyword(1) LLM (large language model)  
Keyword(2) prompt engineering  
Keyword(3) APR (automatic program repair)  
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Keyword(5)  
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1st Author's Name Keisuke Kitamura  
1st Author's Affiliation Graduate School of Doshisha University (Doshisha Univ.)
2nd Author's Name So Onishi  
2nd Author's Affiliation Graduate School of Doshisha University (Doshisha Univ.)
3rd Author's Name Akihito Kohiga  
3rd Author's Affiliation Graduate School of Doshisha University (Doshisha Univ.)
4th Author's Name Takahiro Koita  
4th Author's Affiliation Graduate School of Doshisha University (Doshisha Univ.)
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Speaker Author-1 
Date Time 2025-06-23 10:20:00 
Presentation Time 25 minutes 
Registration for IBISML 
Paper # NC2025-19, IBISML2025-19 
Volume (vol) vol.125 
Number (no) no.81(NC), no.82(IBISML) 
Page pp.112-119 
#Pages 8 
Date of Issue 2025-06-14 (NC, IBISML) 

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