Computation of Node and Path-Level Risk Scores in Scientific Models

Documentation for package ‘softwareRisk’ version 0.3.0

all_paths_fun	Enumerate entry-to-sink call paths and compute risk metrics at the node and path level
call_graph_fun	Build a call graph from an R package or a directory of R scripts
fix_portfolio_fun	Greedy selection of the most risk-reducing node fixes
gini_index_fun	Compute the Gini index of a numeric vector
node_exposure_fun	Path-aware node criticality (risk load)
path_fix_heatmap	Path-level improvement from fixing high-risk nodes
path_uncertainty_plot	Plot path-level uncertainty for the top-risk paths
plot_top_paths_fun	Plot the top risky call paths on a Sugiyama layout
rank_robustness_fun	Robustness of the risk ranking under uncertainty
rank_robustness_plot	Plot the robustness of the risk ranking
read_call_graph	Import a call graph from edge-list and complexity tables
sensitivity_plot_fun	Plot Sobol' sensitivity indices of the node risk scores
slope_fun	Compute the linear slope of a numeric sequence
synthetic_graph	Synthetic citation graph for software risk examples
theme_AP	A clean, publication-oriented ggplot2 theme
uncertainty_fun	Uncertainty and sensitivity analysis of node and path risk