Bug Reports from Bug Tracking Systems

Ardimento, Pasquale;Casalino, Gabriella;Schicchi, Daniele;Taibi, Davide

Description

BTS Insights: A versatile Dataset for software analytics, machine learning, Deep Learning, and LLM applications. If you use this dataset in your research or applications, please cite the following paper:Pasquale Ardimento, Michele Capuzzimati, Gabriella Casalino, Daniele Schicchi, Davide Taibi,A novel LLM-based classifier for predicting bug-fixing time in Bug Tracking Systems,Journal of Systems and Software, Volume 230, 2025, 112569,ISSN 0164-1212, https://doi.org/10.1016/j.jss.2025.112569

Citations (0)

Mentions (0)

Metrics

Dataset Index

0.4

FAIR Score

65%

Citations

0

Mentions

0

Metrics Over Time

Publication Details

DOI

Publisher

Mendeley Data

License

Creative Commons Attribution 4.0 International

Assigned Domain

Subfield

Artificial Intelligence

Field

Computer Science

Domain

Physical Sciences

Confidence Score

45%

Source

Scholar Data Model

Keywords

Software EngineeringSoftware MaintenanceSoftware Bug Prediction

Normalization Factors

FT

57.69

CTw

1.00

MTw

1.00