TY  - JOUR
T1  - Information Retrieval-based Bug Localization for Korean Bug Reports using Translation
AU  - Kim, Misoo 
JO  - Journal of KIISE, JOK
PY  - 2024
DA  - 2024/1/14
DO  - 10.5626/JOK.2024.51.9.827
KW  - Korean bug report
KW  - information retrieval-based bug localization
KW  - text similarity
KW  - translator
AB  - Information retrieval-based bug localization technique uses bug reports as queries to automatically identify faulty source files, significantly reducing the time developers spend locating bugs. The core of this technique lies in calculating text similarity between bug reports and source files. However, for bug reports written in Korean, the text similarity might not be effective due to difficulty of matching words with source codes primarily written in English. This study proposed an information retrieval-based bug localization technique for Korean bug reports using translation, enabling Korean developers to effectively use this technique. We also applied a soft voting method to effectively leverage outputs of multiple translators. To validate the performance of the proposed technique, we collected 269 Korean bug reports and conducted experiments using three translators and two ranking models. Experimental results showed that the proposed method improved bug localization performance by 44% compared to baselines.