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                <identifier>oai:data.mendeley.com/st94bmxfs4.2</identifier>
                <datestamp>2025-07-28T14:40:45Z</datestamp>
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    <dc:creator>Ardimento, Pasquale</dc:creator>
    <dc:title>Bug Reports from Bug Tracking Systems</dc:title>
    <dc:publisher>Mendeley Data</dc:publisher>
    <dc: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</dc:description>
    <dc:subject>Software Engineering</dc:subject>
    <dc:subject>Software Maintenance</dc:subject>
    <dc:subject>Software Bug Prediction</dc:subject>
    <dc:contributor id="https://orcid.org/0000-0003-0713-2260">Casalino, Gabriella</dc:contributor>
    <dc:contributor id="https://orcid.org/0000-0003-0154-2736">Schicchi, Daniele</dc:contributor>
    <dc:contributor id="https://orcid.org/0000-0002-0785-6771">Taibi, Davide</dc:contributor>
    <dc:type>Dataset</dc:type>
    <dc:identifier>doi:10.17632/st94bmxfs4.2</dc:identifier>
    <dc:identifier>oai:data.mendeley.com/st94bmxfs4.2</dc:identifier>
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    <dc:date>2025-07-28T14:40:45Z</dc:date>
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