Simulated datasets used in DAISIE bug report

Simulated datasets (R data objects) used in the bug report analyses. Simulated using the DAISIE R package. Dataset types: A – the same dataset used in the publication, which was simulated with the bugs. B – same as A (the same script with the bug), but with a different random set of simulations. C – dataset simulated using the same script but with the bugs fixed. The motivation for running analyses on the datasets A-C was to examine how the effect of the bug (A vs C, or B vs C) compares to the effect of using different sets of simulated data (A vs B). Simulations.R is the code used to run the new simulations.本数据集为用于漏洞报告分析的模拟数据集（R语言数据对象），采用DAISIE R包完成模拟生成。数据集共分为三类：A类为与已发表文献中所用数据集完全一致的版本，该数据集在模拟时保留了代码漏洞；B类与A类采用同一存在漏洞的脚本进行模拟，但使用了不同的随机模拟样本集；C类则采用修复漏洞后的同一脚本完成模拟生成。本次针对A至C三类数据集开展分析的目的，在于对比代码漏洞带来的影响（即A与C、或B与C的差异）与使用不同随机模拟数据集所产生的影响（即A与B的差异）。Simulations.R为执行本次新模拟所使用的代码文件。