Evaluation of Cross-Lingual Bug Localization: Two Industrial Cases

TL;DR

This paper evaluates a cross-lingual bug localization method in industrial settings by translating non-English texts to English and applying existing localization techniques, demonstrating practical applicability and performance insights.

Contribution

It applies and assesses a cross-lingual bug localization approach in real industrial projects, including implementation of a prototype tool and performance analysis.

Findings

Successful application to Japanese industrial projects

Performance similar to previous research by Xia et al.

Practical feasibility of cross-lingual bug localization in industry

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.