S-Shaped Reliability Growth Modeling for Software Error Detection

TLDR

The software error detection model is a nonhomogeneous Poisson process with an S‑shaped mean‑value function. This paper investigates a stochastic model for software error detection whose growth curve of detected errors is S‑shaped. The authors apply the model to real software error data and discuss statistical inference of its unknown parameters. The model fits the observed data better than alternative models.

Abstract

This paper investigates a stochastic model for a software error detection process in which the growth curve of the number of detected software errors for the observed data is S-shaped. The software error detection model is a nonhomogeneous Poisson process where the mean-value function has an S-shaped growth curve. The model is applied to actual software error data. Statistical inference on the unknown parameters is discussed. The model fits the observed data better than other models.