softwareRisk 0.3.0

New features

• call_graph_fun() builds the call graph required by all_paths_fun() automatically from an installed R package (pkg argument) or a directory of .R scripts (dir argument). Calls are detected by static analysis (codetools::findGlobals(); the code is never executed) and cyclomatic complexity is computed internally by walking the abstract syntax tree of each function, following McCabe (1976).
• read_call_graph() imports and validates the edge-list and complexity tables described in the vignette (data frames or .csv files), failing early with informative messages on misspelled columns, functions missing from the complexity table, duplicated names or non-numeric complexity values. Recommended entry point for models written in other languages.
• node_exposure_fun() computes path-aware node criticality: for each node, the number of entry-to-sink paths containing it, its risk load (the sum of path risk over those paths) and the corresponding shares and ranks, separating chokepoints (structurally exposed functions) from hotspots (complex functions).
• fix_portfolio_fun() greedily selects the set of nodes whose fixing most reduces total path risk (or the risk of the riskiest path) under a budget of interventions, and returns the selection together with a diminishing-returns plot. For the total-risk objective the greedy solution carries the usual (1 - 1/e) submodular optimality guarantee.
• rank_robustness_fun() quantifies how stable the identification of the top-k riskiest paths (or nodes) is across the uncertainty draws of uncertainty_fun(): per-item top-k membership probability, rank quantiles and a consensus rank correlation. rank_robustness_plot() visualizes the result.
• sensitivity_plot_fun() visualizes the Sobol’ indices stored in the sensitivity_analysis column of uncertainty_fun() output, either aggregated across all nodes (boxplots) or for selected nodes with their confidence intervals.

Improvements

• The vignette gained sections on automatic call-graph construction, input validation with read_call_graph(), node exposure, budgeted fix portfolios, ranking robustness and Sobol’-index plotting, with worked examples and figures.
• codetools added to Imports (ships with R).
• Added test suites for all new functions.
• Fixed several typos in the vignette.

softwareRisk 0.2.2

Bug fixes

• Fixed silent NaN risk scores in all_paths_fun() and uncertainty_fun() when a weight is 0 and p < 0: zero-valued normalized metrics produced 0 * Inf = NaN, which was then silently dropped from path-level aggregation via na.rm = TRUE. Zero-valued metrics are now replaced by eps before the power mean is evaluated when p < 0, matching the guard already used in the p -> 0 (geometric mean) case.
• gini_index_fun() now returns 0 instead of NaN for all-zero input (ineq::Gini() divides by the mean). This also removes spurious NaN draws in the gini_index column returned by uncertainty_fun(), which occurred whenever a Sobol’ draw pushed every node risk on a path to zero.
• uncertainty_fun() no longer errors when all_paths_out$paths is empty (the documented output of all_paths_fun() for graphs with no entry-to-sink paths). Node-level results are computed and an empty paths tibble with the usual columns is returned.
• slope_fun() now regresses the finite values against their original positions instead of a compressed index, so removing non-finite values no longer biases the estimated trend (e.g., slope_fun(c(1, NA, 3)) now returns 1 instead of 2).
• Fixed geom_errorbar(height = ...) in path_uncertainty_plot(): the argument is now width, removing the deprecation warning issued by ggplot2 (height was translated to width).
• Removed the documented but non-functional backward-compatibility input of plot_top_paths_fun(): supplying a bare paths tibble always failed with a misleading error because the fallback deriving node metrics from graph was never implemented. The function now clearly requires the full output of all_paths_fun(), and the documentation has been updated accordingly.

Improvements

• Replaced the superseded purrr::flatten() with unlist(recursive = FALSE) in all_paths_fun().
• Replaced the deprecated trans argument with transform in scale_fill_viridis_c() within path_fix_heatmap(); ggplot2 (>= 3.5.0) is now required.
• Removed the unused params argument of the internal risk_ua_sa_fun().
• Removed a stale reference to lab_expr in the documentation of plot_top_paths_fun().
• Updated the citation entries in README.md and inst/CITATION to the current version.
• Added regression tests for all fixes above.

softwareRisk 0.2.1

Bug fixes

• Fixed scale_fill_manual() in plot_top_paths_fun(): values are now named (b1–b4) to guarantee correct colour-to-category mapping, and drop = FALSE ensures all four complexity categories always appear in the legend even when some are absent from the plotted nodes.

softwareRisk 0.2.0

Breaking changes

• risk_form_variance_share_fun() has been removed. Its functionality is fully subsumed by uncertainty_fun(), which already computed identical Sobol’ sensitivity indices for all four parameters as part of its output. Users should call uncertainty_fun() directly and read the sensitivity_analysis list-column from $nodes.
• Removed the risk_form argument from all_paths_fun() and uncertainty_fun(). The additive formula (risk_form = "additive") is now subsumed by the unified power-mean formula with p = 1 (default).
• uncertainty_fun() now returns tibbles instead of data.table objects. The data.table package is no longer a dependency.

Bug fixes

• Fixed duplicate "p" column bug in Sobol sample matrices within uncertainty_fun(). The raw column from sobol_matrices() is now named "p_raw" internally so the rescaled p column is correctly used.
• Added @importFrom rlang %||% to plot_top_paths_fun() (previously not imported).
• Added missing @importFrom declarations for ggplot2::scale_fill_viridis_c, ggplot2::geom_tile, stats::setNames, ggplot2::geom_errorbar, ggplot2::geom_point, and scales::breaks_pretty.
• Fixed fallback nodes_tbl in plot_top_paths_fun() that was missing risk_score. The function now requires all_paths_out to be the output of all_paths_fun().
• Fixed \deqn{[0, 1]} in @param of plot_top_paths_fun().

Improvements

• uncertainty_fun() now returns Sobol’ sensitivity indices labelled alpha, beta, gamma, and p in the sensitivity_analysis list-column of $nodes, replacing the previous internal raw labels a_raw, b_raw, c_raw, p_raw. Internally the Sobol’ design still draws four independent U(0,1) values (required by the quasi-random sequence); the raw draws are normalised to weights and mapped to p ∈ [−1, 2] before the model is evaluated. The documentation explains this in a dedicated Parameter labels and the Sobol’ design section.
• slope_fun() now uses an analytic OLS formula instead of stats::lm().
• Removed the internal slope_per_draw_from_nodes closure in uncertainty_fun() and replaced it with calls to slope_fun().
• Added shared input-validation helper validate_all_paths_out() used across multiple functions.
• Added eps parameter to uncertainty_fun() for forwarding to the risk evaluation.
• Corrected @return documentation for path_cc in all_paths_fun().
• Updated inst/CITATION to version 0.2.0.
• Removed NAMESPACE.bak.
• Removed redundant !is.na(x) guard in slope_fun() and gini_index_fun().
• Replaced three sequential vapply loops in path_uncertainty_plot() with a single pass.
• Removed trailing blank lines in all_paths_fun.R.
• Added testthat test suite with tests for slope_fun, gini_index_fun, all_paths_fun, and uncertainty_fun.

softwareRisk 0.1.1

• Corrected the legend name of the path_fix_heatmap function (from R_k to P_k).
• Expanded the vignette to include examples with the power_mean formulation.

softwareRisk 0.1.0

• Initial CRAN release.
• Functions to compute and visualize risk along software call paths.