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A class of coverage growth functions and its practical application
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Park, Joong-Yang | - |
| dc.contributor.author | Lee, Gyemin | - |
| dc.contributor.author | Park, Jae Heung | - |
| dc.date.accessioned | 2022-12-27T06:05:52Z | - |
| dc.date.available | 2022-12-27T06:05:52Z | - |
| dc.date.issued | 2008-09 | - |
| dc.identifier.issn | 1226-3192 | - |
| dc.identifier.issn | 1876-4231 | - |
| dc.identifier.uri | https://scholarworks.gnu.ac.kr/handle/sw.gnu/27301 | - |
| dc.description.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. | - |
| dc.format.extent | 7 | - |
| dc.language | 영어 | - |
| dc.language.iso | ENG | - |
| dc.publisher | KOREAN STATISTICAL SOC | - |
| dc.title | A class of coverage growth functions and its practical application | - |
| dc.type | Article | - |
| dc.publisher.location | 대한민국 | - |
| dc.identifier.doi | 10.1016/j.jkss.2008.01.002 | - |
| dc.identifier.wosid | 000259111300007 | - |
| dc.identifier.bibliographicCitation | JOURNAL OF THE KOREAN STATISTICAL SOCIETY, v.37, no.3, pp 241 - 247 | - |
| dc.citation.title | JOURNAL OF THE KOREAN STATISTICAL SOCIETY | - |
| dc.citation.volume | 37 | - |
| dc.citation.number | 3 | - |
| dc.citation.startPage | 241 | - |
| dc.citation.endPage | 247 | - |
| dc.type.docType | Article | - |
| dc.identifier.kciid | ART001279660 | - |
| dc.description.isOpenAccess | N | - |
| dc.description.journalRegisteredClass | scie | - |
| dc.description.journalRegisteredClass | scopus | - |
| dc.description.journalRegisteredClass | kci | - |
| dc.relation.journalResearchArea | Mathematics | - |
| dc.relation.journalWebOfScienceCategory | Statistics & Probability | - |
| dc.subject.keywordPlus | SOFTWARE-RELIABILITY | - |
| dc.subject.keywordPlus | MODELS | - |
| dc.subject.keywordAuthor | software reliability growths | - |
| dc.subject.keywordAuthor | coverage growth | - |
| dc.subject.keywordAuthor | non-homogeneous Poisson process | - |
| dc.subject.keywordAuthor | ML estimation | - |
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