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A class of coverage growth functions and its practical application

Authors
Park, Joong-YangLee, GyeminPark, Jae Heung
Issue Date
Sep-2008
Publisher
KOREAN STATISTICAL SOC
Keywords
software reliability growths; coverage growth; non-homogeneous Poisson process; ML estimation
Citation
JOURNAL OF THE KOREAN STATISTICAL SOCIETY, v.37, no.3, pp 241 - 247
Pages
7
Indexed
SCIE
SCOPUS
KCI
Journal Title
JOURNAL OF THE KOREAN STATISTICAL SOCIETY
Volume
37
Number
3
Start Page
241
End Page
247
URI
https://scholarworks.gnu.ac.kr/handle/sw.gnu/27301
DOI
10.1016/j.jkss.2008.01.002
ISSN
1226-3192
1876-4231
Abstract
Coverage-based NHPP SRGMs have been introduced in order to incorporate the coverage growth behavior into the NHPP SRGMs. The coverage growth function representing the coverage growth behavior during testing is an essential factor of the coverage-based NHPP SRGMs. This paper proposes a class of continuous-time coverage growth functions and shows its equivalence to the class of discrete-time coverage growth functions in [Park, J.-Y., Lee, G., & Park, J. H. (2007). A class of discrete time coverage growth functions for software reliability engineering. The Korean Communications in Statistics, 14, 497-506]. For the examination of usability of the proposed class, three coverage growth functions belonging to the class are applied to real data sets and compared. (c) 2008 The Korean Statistical Society. Published by Elsevier B.V. All rights reserved.
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