The dataset of the paper titled "Automated Comment Update: How Far are We?"
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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 <strong>H<sub>EB</sub>C<sub>UP</sub></strong>, 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 <strong>CUP</strong>. HebCup_all.json: The readable result files of <strong>H<sub>EB</sub>C<sub>UP.</sub></strong> HebCup_correct.json<sub>: </sub>The correctly updated items of <strong>H<sub>EB</sub>C<sub>UP.</sub></strong> Source: The source code for running <strong>H<sub>EB</sub>C<sub>UP</sub></strong>. Run <strong>H<sub>EB</sub>C<sub>UP</sub></strong><sub>:</sub> <pre><code class="language-python">python3 HebCup.py --dataPath path2dataset</code></pre> By default, we store the dataset in <code>./dataset</code>
