pysrat Python
A Python package for fitting and analysing NHPP-based software reliability models.
We release the algorithms behind our research as usable software. Everything is on GitHub; the Python, R, and Julia packages install through their usual ecosystems.
A Python package for fitting and analysing NHPP-based software reliability models.
An R package for evaluating software reliability from fault data.
Phase-type software reliability models (PHSRM) for R.
An R package that assesses software reliability using development metrics.
Goodness-of-fit tests for software reliability models (Kolmogorov–Smirnov, EIC).
A web front end for Rsrat, built with Shiny.
A block-diagram based tool for model-based development (MBD) in Julia.
Phase-type distribution fitting for incompletely observed data, with AIC/EIC model selection.
Numerical computation for Markov chains in Julia.
Numerical quadrature on finite and semi-infinite intervals using double-exponential formulas.
An R package for fitting phase-type distributions and Markovian arrival processes. Available on CRAN.
An R package for one-dimensional numerical integration with double-exponential formulas. Available on CRAN.