Swapna S. Gokhale, Teebu Philip, Peter N. Marinos, Kishor S. Trivedi  Home/Search
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Abstract: A number of analytical software reliability models have been proposed to estimate the reliability growth of a software product. In this paper we present an Enhanced non-homogeneous Poisson process (ENHPP) model and assert that previously reported Non-Homogeneous Poisson Process (NHPP) based models, with bounded mean value 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 ... (Update)
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BibTeX entry: (Update)
Swapna S. Gokhale, Teebu Philip, Peter N. Marinos, Kishor S. Trivedi, "Unification of Finite Failure NonHomogeneous Poisson Process Models through Test Coverage," 7th International Symposium on Software Reliability Engineering, Oct, 1996, pp. 299-307. http://citeseer.ist.psu.edu/gokhale96unification.html More
@misc{ gokhale96unification,
author = "S. Gokhale and T. Philip and P. Marinos and K. Trivedi",
title = "Unification of Finite Failure NonHomogeneous Poisson Process Models through
Test Coverage",
text = "Swapna S. Gokhale, Teebu Philip, Peter N. Marinos, Kishor S. Trivedi, Unification
of Finite Failure NonHomogeneous Poisson Process Models through Test Coverage,
7th International Symposium on Software Reliability Engineering, Oct, 1996,
pp. 299-307.",
year = "1996",
url = "citeseer.ist.psu.edu/gokhale96unification.html" }
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