Published February 6, 2023
| Version v1
Software
Open
Replication package for the paper 'Assessing the Quality of Source Code Identifiers Using Self-Supervised Transformer Models'
Creators
- 1. RheinMain University of Applied Sciences, Wiesbaden
- 2. University of St. Gallen
Description
Code and data necessary for reproducing the results from 'Assessing the Quality of Source Code Identifiers Using Self-Supervised Transformer Models'. In particular, we provide the code for training and evaluating the models, links to pre-trained models, the dataset used for evaluation, and the predicted scores generated by our different approaches.
Files
esec-code-doctor-main.zip
Files
(3.9 MB)
| Name | Size | Download all |
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md5:1daf277ade36158a0be7f21db0b96bf1
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