Today's cat is tomorrow's dog: accounting for time-based changes in the labels of ML vulnerability detection approaches (Replication Package Part 2: Linux dataset)
Description
The Replication Package of "Time-based Analysis on Software Vulnerability ML Detection: A Differentiated Replication" Part 2 (Linux Dataset) The zipped package includes: Datasets that we created using our methodology and the original dataset (from [NVD Vuldeepecker](https://github.com/CGCL-codes/VulDeePecker))- retrospective test- believed_perspective test- perspective test Pre-trained models that we generated during our evaluation (3 test results for each time point in the timeline [2011-2017]). We also added the summarized result files (.xlsx) 1. Timeline of Datasets.xlsx 2. ML Evaluations.xlsx and the notebook to produce the charts in the paper: Charts.ipynb Please refer to https://zenodo.org/records/10965516 for Part 1 NVD Vuldeepecker Dataset
Resources
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http://data.europa.eu/88u/dataset/oai-zenodo-org-10960663 |
Tags
- software-security
- retrospective-perspective
- dataset-tuning
- machine-learning