The dataset of the paper titled "Automated Comment Update: How Far are We?"

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

Keywords

ICPC 2021, source code, Science Policy, dataPath path 2dataset, Information Systems not elsewhere classified, Run H EB C, Marine Biology, Far, ASE, Automated Comment Update, experiment results, Infectious Diseases, Sociology, H EB C, Genetics, python 3 HebCup.py, Biological Sciences not elsewhere classified

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