DocumentCode :
1921867
Title :
On Equilibrium Distribution Properties in Software Reliability Modeling
Author :
Xiao, Xiao ; Dohi, Tadashi
Author_Institution :
Dept. of Inf. Eng., Hiroshima Univ., Higashi-Hiroshima
fYear :
2009
fDate :
16-19 March 2009
Firstpage :
158
Lastpage :
165
Abstract :
The non-homogeneous Poisson processes (NHPPs) have gained much popularity in actual software testing phases to assess the software reliability, the number of remaining faults in the software, the software release schedule, etc. In this paper, we propose a novel 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. We study the equilibrium distribution properties in software reliability modeling and compare the resulting NHPP-based SRMs with the existing ones.
Keywords :
program testing; software fault tolerance; software reliability; statistical distributions; stochastic processes; NHPP-based software reliability modeling; equilibrium distribution property; non homogeneous Poisson process; software fault detection time distribution; software release schedule; software testing; stochastic behavior; Availability; Data analysis; Exponential distribution; Information security; Mathematical model; Programming; Reliability engineering; Software reliability; Software testing; Stochastic processes; NHPP; equilibrium distribution; goodness-of-fit; model comparison; real data analysis; software reliability;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Availability, Reliability and Security, 2009. ARES '09. International Conference on
Conference_Location :
Fukuoka
Print_ISBN :
978-1-4244-3572-2
Electronic_ISBN :
978-0-7695-3564-7
Type :
conf
DOI :
10.1109/ARES.2009.121
Filename :
5066468
Link To Document :
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