Published January 21, 2021 | Version v1

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

Authors/Creators

  • 1. anonymous

Description

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.jsonThe 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

Files

Dataset.zip

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