| Cart Total:
Menu
Data-driven software reliability evaluation under incomplete knowledge on fault count distribution
  • Quality

Data-driven software reliability evaluation under incomplete knowledge on fault count distribution

Publication:
Quality Engineering
Date:
July 2020
Issue:
Volume 32 Issue 3
Pages:
pp. 421-433
Author(s):
Dohi, Tadashi, Zheng, Junjun, Okamura, Hiroyuki
The copyright of this article is not held by ASQ.

Abstract

In this article, we consider data-driven approaches for software reliability evaluation without specifying the fault count distribution, where the underlying stochastic process to describe software fault-counts in the system testing is given by a non-homogeneous Poisson process. A comprehensive non-parametric method based on the kernel estimation is provided with several kernel functions and bandwidth estimations, in addition to the non-parametric bootstrap. The resulting data-driven methodologies can give useful probabilistic information on the software reliability prediction under the incomplete knowledge on fault count distribution.

ALREADY A MEMBER?    REGISTER