softwareRisk: Computation of Node and Path-Level Risk Scores in Scientific
Models
It leverages the network-like architecture of scientific models together with software quality metrics to identify chains of function calls that are more prone to generating and propagating errors. It operates on tbl_graph objects representing call dependencies between functions (callers and callees) and computes risk scores for individual functions and for paths (sequences of function calls) based on cyclomatic complexity, in-degree and betweenness centrality. The package supports variance-based uncertainty and sensitivity analyses after Puy et al. (2022) <doi:10.18637/jss.v102.i05> to assess how risk scores change under alternative risk definitions.
| Version: |
0.1.0 |
| Depends: |
R (≥ 4.1.0) |
| Imports: |
dplyr, ggplot2, ggraph, igraph, ineq, purrr, scales, tibble, tidygraph, grid, stats, utils, rlang, data.table, sensobol |
| Suggests: |
knitr, rmarkdown, spelling |
| Published: |
2026-01-21 |
| DOI: |
10.32614/CRAN.package.softwareRisk (may not be active yet) |
| Author: |
Arnald Puy  [aut,
cre] |
| Maintainer: |
Arnald Puy <arnald.puy at pm.me> |
| License: |
GPL-3 |
| NeedsCompilation: |
no |
| Language: |
en-US |
| Citation: |
softwareRisk citation info |
| Materials: |
README, NEWS |
| CRAN checks: |
softwareRisk results |
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