We apply for the Available and Reusable badges. We believe our artifact meets the requirements for the two badges in the artifact submission guideline.
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Available: Our Software and Dataset artifacts are "Available" as they are publicly accessible through the following repository:
- Software Artifacts: https://github.com/phamquiluan/baro/releases/tag/0.2.0
- Dataset Artifacts: https://zenodo.org/records/11046533
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Reusable: Our artifact is "Reusable" (and also "Functional") as we meet the following five criteria (the first four are the criteria for "Functional" badge) mentioned in the artifact submission guideline.
- Documented: We provide the following documents necessary for using our artifact: (1) README.md, (2) REQUIREMENTS.md, (3) STATUS.md, (4) LICENSE, (5) INSTALL.md, and (6) a copy of the accepted paper.
- Consistent & Complete: We provide concrete steps for reproducing the main experimental results in the paper using our public artifacts, as described in Section README.md#reproducibility.
- Exercisable: We provide three tutorials at directory ./tutorials in the Jupyter Notebook format, which can also be opened using Google Colab. In addition, we also add unit tests for main functions at ./tests/test.py file.
- Reusable for Future Researches: We have published our BARO as a PyPI package fse-baro and provided concrete instructions to install and use BARO (as described above). In addition, we also provide unit-tests and adopt Continuous Integration (CI) tools to perform testing automatically in daily manner to detect and prevent code rot, see .circleci/config.yml. Thus, we believe that other researchers can use BARO in their own research.