Showing 1 - 20 results of 57 for search 'code automated classification', query time: 0.30s Refine Results
  1. 1
  2. 2
  3. 3
  4. 4

    FlakyFix: Using Large Language Models for Predicting Flaky Test Fix Categories and Test Code Repair by Sakina Fatima (15362704)

    Published 2025
    “…<p dir="ltr">This is the replication package associated with the paper: 'FlakyFix: Using Large Language Models for Predicting Flaky Test Fix Categories and Test for Code Repair'</p><p><br></p><p dir="ltr">### Requirements</p><p dir="ltr">This is a list of all required python packages:</p><p dir="ltr">-imbalanced_learn==0.8.1</p><p dir="ltr">-numpy==1.19.5</p><p dir="ltr">-pandas==1.3.3</p><p dir="ltr">-transformers==4.10.2</p><p dir="ltr">-torch==1.5.0</p><p dir="ltr">-scikit_learn==0.24.2</p><p dir="ltr">-openai==v0.28.1</p><p><br></p><p dir="ltr">#Automated tool for labelling dataset with flaky test fix categories</p><p><br></p><p dir="ltr">This is a step-by-step guideline for automatically labelling dataset with flaky test fix categories</p><p><br></p><p><br></p><p dir="ltr">### Input Files:</p><p dir="ltr">This is a an input file that is required to accomplish this step:</p><p dir="ltr">* Data/IdoFT_dataset_filtered.csv</p><p dir="ltr">https://figshare.com/s/47f0fb6207ac3f9e2351</p><p><br></p><p dir="ltr">### Output Files:</p><p dir="ltr">* Results/IdoFT_dataset_filtered.csv</p><p><br></p><p><br></p><p dir="ltr">### Replicating the experiment</p><p><br></p><p dir="ltr">This experiment can be executed using the following commands after navigating to the `Code\` folder:</p><p><br></p><p dir="ltr">```console</p><p dir="ltr">bash Automated_labelling_tool.sh</p><p>```</p><p><br></p><p dir="ltr">It will generate the dataset required to run our prediction models to predict the category of the fix, given a flaky test code</p><p><br></p><p>---</p><p><br></p><p dir="ltr"># Prediction models for fix categories using the test case code</p><p><br></p><p dir="ltr">This is the guideline for replicating the experiments we used to evaluate our prediction models i.e. …”
  5. 5
  6. 6
  7. 7

    <b>Automated transcoloration? Skin tone classification algorithms and the prominence of non-epidermic features in the Mexican racial schema</b> by Rene Rejon (6026429)

    Published 2025
    “…Examining a novel dataset (n=3,000), I compare two different skin color variables (one coded by humans and other by an automated algorithm), finding little agreement about exact estimates but substantial —and statistically significant— agreement on the general direction of the variables. …”
  8. 8
  9. 9
  10. 10
  11. 11
  12. 12
  13. 13
  14. 14
  15. 15

    Code snippet from “Netty/Buffer” Maven artefact. by Matthew Yit Hang Yeow (20721206)

    Published 2025
    “…Our approach uses cross-project code clone detection to establish the ground truth for software reuse, identifying code clones across popular GitHub projects as indicators of potential reuse candidates. …”
  16. 16

    Data and Code from: Smart vision-based monitoring system for AI-driven moth population estimation using camera-equipped trap imaging by Alison Gerken (17362585)

    Published 2025
    “…To address this, the developed system automates the detection process, reducing reliance on manual counting while improving classification precision. …”
  17. 17
  18. 18

    Code snippet from “Apache Dubbo” GitHub project. by Matthew Yit Hang Yeow (20721206)

    Published 2025
    “…Our approach uses cross-project code clone detection to establish the ground truth for software reuse, identifying code clones across popular GitHub projects as indicators of potential reuse candidates. …”
  19. 19
  20. 20