Computation of Node and Path-Level Risk Scores in Scientific Models R package softwareRisk version 0.3.0 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. Software Depends: R (>= 4.1.0) Imports: codetools, dplyr, ggplot2 (>= 3.5.0), ggraph, igraph, ineq, purrr, scales, tibble, tidygraph, grid, stats, utils, rlang, sensobol Suggests: knitr, rmarkdown, spelling, testthat (>= 3.0.0) Arnald Puy <arnald.puy@pm.me> Comprehensive R Archive Network (CRAN) Arnald Puy [aut, cre] (ORCID: <https://orcid.org/0000-0001-9469-2156>) GPL-3 2026-07-16 application/tgz https://CRAN.R-project.org/package=softwareRisk doi:10.32614/CRAN.package.softwareRisk en-US