research data . Dataset . 2019

DIRE: A Neural Approach to Decompiled Identifier Naming

Lacomis, Jeremy; Yin, Pengcheng; Schwartz, Edward J.; Allamanis, Miltiadis; Le Goues, Claire; Neubig, Graham; Vasilescu, Bogdan;
Open Access
  • Published: 09 Sep 2019
  • Publisher: Zenodo
Abstract
<p>This dataset is released as a companion to the paper &quot;DIRE: A Neural Approach to Decompiled Identifier Naming&quot;, appearing in the proceedings of the&nbsp;34th IEEE/ACM International Conference on Automated Software Engineering (ASE 2019).</p> <p>It contains information generated by decompiling 3,195,962 functions found in 164,632 unique binaries generated from C code scraped from GitHub. For practicality, the dataset is partitioned into 16 archives by the first hexadecimal digit of the SHA-256 hash of the binary used to generate it. Each of the 16 archives contains approximately 10,000&nbsp;JSONL files, named according to a binary&#39;s hash. Each JS...
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Zenodo
Dataset . 2019
Provider: Zenodo
Zenodo
Dataset . 2019
Provider: Datacite
Zenodo
Dataset . 2019
Provider: Datacite
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