Today's cat is tomorrow's dog: accounting for time-based changes in the labels of ML vulnerability detection approaches (Replication Package Part 3: OpenSSL dataset)
Description
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 3 (OPENSSL Dataset) This repository includes: Code 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 that contain 2 folders:a. original datasets: 1 from NVD Vuldeepecker and 3 extracted from BigVul. b. OPENSSL datasets: train, validation, test sets for each time of observation extracted using our methodology from BigVul dataset for project openssl. Pretrained-models that we generated during our evaluation (3 test results for each time point in the timeline [2013-2019]). Results of our evaluation, the folder ALL contains the overall results and other folders are results by model. Please refer to the following repositories for the other datasets and pre-trained models: - Part 2 LINUX : https://doi.org/10.5281/zenodo.10960662 - Part 3 OPENSSL : https://doi.org/10.5281/zenodo.10966117 - Part 4 POPPLER : https://doi.org/10.5281/zenodo.14713143
Resources
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http://data.europa.eu/88u/dataset/oai-zenodo-org-14852130 |
Tags
- software-security
- retrospective-perspective
- dataset-tuning
- machine-learning