NHPP-Based Software Reliability Models Using Equilibrium Distribution

Xiao Xiao

Okamura Hiroyuki

Dohi Tadashi

IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences

Non-homogeneous Poisson processes (NHPPs) have gained much popularity in actual software testing phases to estimate the software reliability, the number of remaining faults in software and the software release timing. In this paper, we propose a new modeling approach for the NHPP-based software reliability models (SRMs) to describe the stochastic behavior of software fault-detection processes. The fundamental idea is to apply the equilibrium distribution to the fault-detection time distribution in NHPP-based modeling. We also develop efficient parameter estimation procedures for the proposed NHPP-based SRMs. Through numerical experiments, it can be concluded that the proposed NHPP-based SRMs outperform the existing ones in many data sets from the perspective of goodness-of-fit and prediction performance.

software reliability

equilibrium distribution

EM algorithm

NHPP

real data analysis

General works [ 000 ]

eng

一般社団法人電子情報通信学会

Copyright (c) 2012 The Institute of Electronics, Information and Communication Engineers

[ISSN] 0916-8508

[DOI] 10.1587/transfun.E95.A.894

[NCID] AA10826239

[DOI] http://dx.doi.org/10.1587/transfun.E95.A.894

[URI] http://search.ieice.org/