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Published March 28, 2024 | Version v1.0
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Artifact associated with "AI-enabled Regulatory Change Analysis of Legal Requirements"

  • 1. ROR icon University of Luxembourg
  • 1. ROR icon University of Luxembourg
  • 2. Lero SFI centre for Software Research and University of Limerick
  • 3. ROR icon University of Ottawa

Description

This is the artifact associated with the paper, titled "AI-enabled Regulatory Change Analysis of Legal Requirements", accepted in the 32nd IEEE International Requirements Engineering 2024 conference. 

The artifact includes: 

  • A README file explaining the artifact
  • The folder Data containing the annotated dataset for regulatory change analysis
  • MURCIA-RE24.ipynb is a Jupyter notebook containing the script that is used to perform regulatory change analysis
  • requirements.txt contains the necessary libraries (with their versions) required for running the code

Files

Data.zip

Files (540.0 kB)

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md5:63928216dbaef20cae2b5cdbec05388b
378.6 kB Preview Download
md5:c692ba29a5fcca07c5eca8df804f9ef4
37.6 kB Preview Download
md5:6730c561ecf5ead7f3fabccd5a4a35fb
2.5 kB Preview Download
md5:ae81010bc1c1564cf1af4cf29788e7eb
29 Bytes Preview Download
md5:f02f19c05a41eea984a6197272172a4b
121.3 kB Preview Download

Additional details

Dates

Created
2024-03-28
The artifact is created on Zenodo

Software

Programming language
Python