The dataset of the paper titled "Automated Comment Update: How Far are We?"
| Main Author: | anonymous |
|---|---|
| Format: | info dataset Journal |
| Terbitan: |
, 2021
|
| Online Access: |
https://zenodo.org/record/4453891 |
Daftar Isi:
- The dataset of the paper titled "Automated Comment Update: How Far are We?". This is the online repository of the paper "Automated Comment Update: How Far are We?" under review by ICPC2021. We release the source code of HEBCUP, the dataset used in our evaluation, as well as the experiment results. Dataset: The cleaned dataset from Liu's ASE20 paper (i.e., Automating Just-In-Time Comment Updating). We removed the three types of noisy data in the dataset as described in our paper. Results: Baseline_CUP.json: The readable result files of CUP. HebCup_all.json: The readable result files of HEBCUP. HebCup_correct.json: The correctly updated items of HEBCUP. Source: The source code for running HEBCUP. Run HEBCUP: python3 HebCup.py --dataPath path2dataset By default, we store the dataset in ./dataset