BuGL -- A Cross-Language Dataset for Bug Localization

Understand

Bug Localization is the process of locating potential error-prone files or methods from a given bug report and source code.

• There is extensive research on bug localization in the literature that focuses on applying information retrieval techniques or machine learning/deep learning approaches or both, to detect location of bugs.
• The common premise for all approaches is the availability of a good dataset, which in this case, is the standard benchmark dataset that comprises of 6 Java projects and in some cases, more than 6 Java projects.
• The existing dataset do not comprise projects of other programming languages, despite of the need to investigate specific and cross project bug localization.