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Long Lived Bug Prediction

Kaggle

@kaggle.saurabhshahane_long_lived_bug_prediction

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Predict the Bugs in FLOSS

Dataset Description

Context

Authors have created this dataset to support the research on the long-lived bugs. It stores a set of bug reports opened and closed during the last seven years, extracted from six popular Free/Libre Open Source Software (FLOSS) projects: Eclipse, Freedesktop, GCC, Gnome, Mozilla, and WinHQ. The researchers can explore bug data in this dataset to understand different questions on bugs' nature. For instance, they can use it to correlate the bug fixing time with bug characteristics. The attributes in the dataset are described in the attached README.md file.

Acknowledgements

Gomes, Luiz; Torres, Ricardo; Côrtes, Mario (2021), “A Dataset for Long-lived Bug Prediction in FLOSS ”, Mendeley Data, V2, doi: 10.17632/v446tfssgj.2


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