DocumentCode :
2366249
Title :
Unification of finite failure non-homogeneous Poisson process models through test coverage
Author :
Gokhale, Swapna S. ; Philip, Teebu ; Marinos, Peter N. ; Trivedi, Kishor S.
Author_Institution :
Dept. of Electr. & Comput. Eng., Duke Univ., Durham, NC, USA
fYear :
1996
fDate :
30 Oct-2 Nov 1996
Firstpage :
299
Lastpage :
307
Abstract :
A number of analytical software reliability models have been proposed for estimating the reliability growth of a software product. We present an Enhanced Non-Homogeneous Poisson Process (ENHPP) model and show that previously reported Non-Homogeneous Poisson Process (NHPP) based models, with bounded mean valve functions, are special cases of the ENHPP model. The ENHPP model differs from previous models in that it incorporates explicitly the time varying test coverage function in its analytical formulation, and provides for defective fault detection and test coverage during the testing and operational phases. The ENHPP model is validated using several available failure data sets
Keywords :
program testing; software fault tolerance; software reliability; stochastic processes; ENHPP model; Enhanced Non-Homogeneous Poisson Process; analytical formulation; analytical software reliability models; bounded mean valve functions; defective fault detection; failure data sets; finite failure non-homogeneous Poisson process model unification; reliability growth estimation; software product; time varying test coverage function; Analytical models; Availability; Contracts; Fault detection; Laboratories; Military computing; Predictive models; Software measurement; Software testing; Software tools;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Software Reliability Engineering, 1996. Proceedings., Seventh International Symposium on
Conference_Location :
White Plains, NY
Print_ISBN :
0-8186-7707-4
Type :
conf
DOI :
10.1109/ISSRE.1996.558886
Filename :
558886
Link To Document :
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