Evaluation of Cross-Lingual Bug Localization: Two Industrial Cases

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Abstract

This study reports the results of applying the cross-lingual bug localization approach proposed by Xia et al. to industrial software projects. To realize cross-lingual bug localization, we applied machine translation to non-English descriptions in the source code and bug reports, unifying them into English-based texts, to which an existing English-based bug localization technique was applied. In addition, a prototype tool based on BugLocator was implemented and applied to two Japanese industrial projects, which resulted in a slightly different performance from that of Xia et al.

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BibTeX

@inproceedings{hayashi-icsme2023,
    author = {Shinpei Hayashi and Takashi Kobayashi and Tadahisa Kato},
    title = {Evaluation of Cross-Lingual Bug Localization: Two Industrial Cases},
    booktitle = {Proceedings of the 39th IEEE International Conference on Software Maintenance and Evolution},
    pages = {495--499},
    doi = {10.1109/ICSME58846.2023.00063},
    year = 2023,
}