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softwareRisk  

Computation of Node and Path-Level Risk Scores in Scientific Models
View on CRAN: Click here


Download and install softwareRisk package within the R console
Install from CRAN:
install.packages("softwareRisk")

Install from Github:
library("remotes")
install_github("cran/softwareRisk")

Install by package version:
library("remotes")
install_version("softwareRisk", "0.3.0")



Attach the package and use:
library("softwareRisk")
Maintained by
Arnald Puy
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2026-01-21
Latest Update: 2026-01-21
Description:
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.
How to cite:
Arnald Puy (2026). softwareRisk: Computation of Node and Path-Level Risk Scores in Scientific Models. R package version 0.3.0, https://cran.r-project.org/web/packages/softwareRisk. Accessed 24 Oct. 2026.
Previous versions and publish date:
(2026-07-16 14:30), 0.1.0 (2026-01-21 20:50), 0.2.0 (2026-04-04 22:20)
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