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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&nbsp;the <em>Fusion_approach.zip</em> file).</p> <p>&nbsp;</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>&nbsp;</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