Replication package for the paper: Applying Bandit Algorithms to Personalize Code Readability Evaluation by LLMs
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Zenodo
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| Natura: | Recurso digital |
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Zenodo
2025
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| _version_ | 1866902296550440960 |
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| author | anonymous |
| author_facet | anonymous |
| contents | <p><span lang="EN-US">The scripts are worked on Windows 10 or later version. Some paths included in the scripts should be modified before the execution. Microsoft Excel and R Language are required to execute the scripts.</span></p> <p><span lang="EN-US"> </span></p> <p><span lang="EN-US">0. script.txt: template script for script.xlsx</span></p> <p><span lang="EN-US">1. master.xlsx: used to make learning and test dataset.</span></p> <p><span lang="EN-US">2. script.xlsx: used to make R scripts. By the script, calibration model of each developer is made.</span></p> <p><span lang="EN-US">3. dist.txt: used to calculate similarity (i.e., Euclidean distance) of each developer. The script works on R.</span></p> <p><span lang="EN-US">4. ba_m.txt: used to perform the bandit algorithm. The script works on R.</span></p> |
| format | Recurso digital |
| id | zenodo_https___doi_org_10_5281_zenodo_15607299 |
| institution | Zenodo |
| language | |
| publishDate | 2025 |
| publisher | Zenodo |
| record_format | zenodo |
| spellingShingle | Replication package for the paper: Applying Bandit Algorithms to Personalize Code Readability Evaluation by LLMs anonymous <p><span lang="EN-US">The scripts are worked on Windows 10 or later version. Some paths included in the scripts should be modified before the execution. Microsoft Excel and R Language are required to execute the scripts.</span></p> <p><span lang="EN-US"> </span></p> <p><span lang="EN-US">0. script.txt: template script for script.xlsx</span></p> <p><span lang="EN-US">1. master.xlsx: used to make learning and test dataset.</span></p> <p><span lang="EN-US">2. script.xlsx: used to make R scripts. By the script, calibration model of each developer is made.</span></p> <p><span lang="EN-US">3. dist.txt: used to calculate similarity (i.e., Euclidean distance) of each developer. The script works on R.</span></p> <p><span lang="EN-US">4. ba_m.txt: used to perform the bandit algorithm. The script works on R.</span></p> |
| title | Replication package for the paper: Applying Bandit Algorithms to Personalize Code Readability Evaluation by LLMs |
| url | https://doi.org/10.5281/zenodo.15607299 |