8000 GitHub - iCSawyer/ClearCRC: [ISSTA 2025] Repliation package for ISSTA'25 paper titled "Understanding Practitioners' Expectations on Clear Code Review Comments".
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[ISSTA 2025] Repliation package for ISSTA'25 paper titled "Understanding Practitioners' Expectations on Clear Code Review Comments".

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ClearCRC

This is the repository of the replication package for paper "Understanding Practitioners’ Expectations on Clear Code Review Comments".

Table of Contents

  • Code/ contains the code of our study
  • Data/ contains our manually labelled data, the five-fold data for experiments, and extra dataset
  • Others/ contains the sample survey and the paper list we collected

Code

  1. Model Set 1: lstm_classifier.py and ml_classifier.py
  2. Model Set 2: run_evaluator.py with run.sh
  3. Model Set 3: llm.py and llm_compute_metrics.py
  4. augmentor.py: the data augmentation code

Data

  • crc_labelled_data.csv: the labelled dataset for our main experiments, processed from the CodeReviewer dataset
  • codereviewer_new_test.csv: the manually labelled subset of the CodeReviewer_New dataset
  • five_fold_data: the up sampling data for five-fold cross validation

Others

  • Survey Sample.pdf: the sample survey we used in our study
  • Code Review Paper List: 47 papers we collected related to CRCs in our study

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[ISSTA 2025] Repliation package for ISSTA'25 paper titled "Understanding Practitioners' Expectations on Clear Code Review Comments".

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