Published November 22, 2022 | Version 0.1
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Requirement or not, that is the question: A case from the railway industry (Additional material 1/2)

Authors/Creators

  • 1. RISE Research Institutes of Sweden
  • 2. Mälardalen University
  • 3. Alstom SA

Description

This dataset contains all the trained ML, LSTM, and BERT family models trained on five folds (both on data with and without pre-processing) on the Dronology Dataset. These models are additional material to the replication package available Here. Please cite the original paper (information available here: https://github.com/a66as/REFSQ2023-ReqORNot/ ).

Notes

Additional material (1/2) for the replication package: https://github.com/a66as/REFSQ2023-ReqORNot/

Files

BERT_family.zip

Files (44.5 GB)

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Additional details

Related works

Is supplement to
Software: https://github.com/a66as/REFSQ2023-ReqORNot/ (URL)

Funding

European Commission
AIDOaRt - AI-augmented automation for efficient DevOps, a model-based framework for continuous development At RunTime in cyber-physical systems 101007350