The Artifact of the TSE Submission #TSE-2022-12-0520
<p>In this online repository, we open source the source code of each standalone technique as well as the fusion approaches implemented by ourselves (stored in the <em>Fusion_approach.zip</em> file).</p> <p> </p> <p>Our evaluation is based on the large-scale CodeSearchNet dataset, which can be accessed through its <a href="https://github.com/github/CodeSearchNet">official webpage</a>.</p> <p> </p> <p>We also provide the experimental results we obtained in our study, including the rank and score results from each standalone techniques (stored in the <em>Standalone_Java.zip</em> and <em>Standalone_Python.zip</em> files) and the fusion results (stored in the <em>Fusion_results.zip</em> file).</p>
ShareScore
32/100
Overall dataset sharing score
Score breakdown
These five areas show where the dataset supports — or may limit — practical reuse.
- Stewardship
- 4
- Harmonization
- 4
- Access
- 16
- Reuse readiness
- 8
- Engagement
- 0