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)

The Replication Package of "Today's cat is tomorrow's dog: accounting for time-based changes in the labels of ML vulnerability detection approaches" Part 2 (LINUX Dataset) This repository includes: Code.zip that contains the codes to replicate some parts of this study:a. 1_generate_datasets implements our methodology to generate the datasets.b. 2_run_models runs the ML models during the evaluation.c. 3_result_replication generates charts presented in the paper from the ML evaluation results. Datasets.zip that contain 2 folders:a. original datasets: 1 from NVD Vuldeepecker and 3 extracted from BigVul. b. LINUX datasets: train, validation, test sets for each time of observation extracted using our methodology from BigVul dataset for project linux. Pretrained-models.zip that we generated during our evaluation (3 test results for each time point in the timeline [2011-2019]). Results.zip of our evaluation, the folder ALL contains the overall results and other folders are results by model. Documentations INSTALL.pdf : how to install the codes README.pdf: readme file REQUIREMENTS.pdf: hardware and software requirements STATUS.pdf : status for artifact submission LICENSE.pdf: the license of this artifact PAPER.pdf: the camera-ready version of the paper Please refer to the following repositories for the other datasets and pre-trained models: - Part 1 NVD Vuldeeepecker : https://doi.org/10.5281/zenodo.8207883 - Part 3 OPENSSL : https://doi.org/10.5281/zenodo.10966117 - Part 4 POPPLER : https://doi.org/10.5281/zenodo.14713143