softwareRisk: Computation of node and path-level risk scores in scientific models

Arnald Puy

The R package softwareRisk 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 to assess how risk scores change under alternative risk definitions.

Installation

To install the stable version on CRAN, use

install.packages("softwareRisk")

To install the development version, use devtools:

install.packages("devtools") # if you have not installed devtools package already
devtools::install_github("arnaldpuy/softwareRisk", build_vignettes = TRUE)

Usage

Please see the vignette for a walkthrough of the package utilities.

A printable PDF version of this vignette is also available here.

Citation

To cite softwareRisk in publications:

Puy A (2025). softwareRisk: Computation of node and path-level risk scores in scientific models. R package version 0.1.1, https://github.com/arnaldpuy/softwareRisk.

A BibTeX entry for LaTeX users is

@Manual{puy2025_softwareRisk, title = {softwareRisk: Computation of node and path-level risk scores in scientific models}, author = {Arnald Puy}, year = {2025}, note = {R package version 0.1.1}, url = {https://github.com/arnaldpuy/softwareRisk} }