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Data · dataset · 2025

Bug Reports from Bug Tracking Systems

Listed in Teesside University Research Data Repository

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, doi.org/10.1016/j.jss.2025.112569

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Where it is published

Catalogue records · 1

Topics

Provenance · 1 source records, 9 field assertions
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Teesside University Research Data Repositoryoai:data.mendeley.com/st94bmxfs4.26 h agoJSON v1
FieldAssertionExtractorEvidence
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