Automatic Bug Report Generation for Open Source Projects via QLoRA Fine-Tuning, CTQRS-Structured Prompting, and the Integration of CoT and Few-Shot Strategies
Vol. 53, No. 3, pp. 217-229, Mar. 2026
10.5626/JOK.2026.53.3.217
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automatic bug report generation large language models QLoRA-4bit CTQRS Chain-of-Thought few-shot generation
Abstract
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Cite this article
[IEEE Style]
S. Choi and G. Yang, "Automatic Bug Report Generation for Open Source Projects via QLoRA Fine-Tuning, CTQRS-Structured Prompting, and the Integration of CoT and Few-Shot Strategies," Journal of KIISE, JOK, vol. 53, no. 3, pp. 217-229, 2026. DOI: 10.5626/JOK.2026.53.3.217.
[ACM Style]
Seojin Choi and Geunseok Yang. 2026. Automatic Bug Report Generation for Open Source Projects via QLoRA Fine-Tuning, CTQRS-Structured Prompting, and the Integration of CoT and Few-Shot Strategies. Journal of KIISE, JOK, 53, 3, (2026), 217-229. DOI: 10.5626/JOK.2026.53.3.217.
[KCI Style]
최서진, 양근석, "QLoRA와 CTQRS 구조화 프롬프트, CoT·Few-shot 전략을 결합한 오픈 소스 버그 리포트 자동 생성 기법," 한국정보과학회 논문지, 제53권, 제3호, 217~229쪽, 2026. DOI: 10.5626/JOK.2026.53.3.217.
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