A unified scheme of some Nonhomogenous Poisson process models for software reliability estimation
In this paper, we describe how several existing software reliability growth models based on Nonhomogeneous Poisson processes (NHPPs) can be comprehensively derived by applying the concept of weighted arithmetic, weighted geometric, or weighted harmonic mean. Furthermore, based on these three weighte...
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Veröffentlicht in: | IEEE transactions on software engineering 2003-03, Vol.29 (3), p.261-269 |
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description | In this paper, we describe how several existing software reliability growth models based on Nonhomogeneous Poisson processes (NHPPs) can be comprehensively derived by applying the concept of weighted arithmetic, weighted geometric, or weighted harmonic mean. Furthermore, based on these three weighted means, we thus propose a more general NHPP model from the quasi arithmetic viewpoint. In addition to the above three means, we formulate a more general transformation that includes a parametric family of power transformations. Under this general framework, we verify the existing NHPP models and derive several new NHPP models. We show that these approaches cover a number of well-known models under different conditions. |
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We show that these approaches cover a number of well-known models under different conditions.</description><subject>Arithmetic</subject><subject>Earth Observing System</subject><subject>Harmonics</subject><subject>Mathematical models</subject><subject>Power system harmonics</subject><subject>Programming</subject><subject>Reliability engineering</subject><subject>Software engineering</subject><subject>Software measurement</subject><subject>Software quality</subject><subject>Software reliability</subject><subject>Solid modeling</subject><subject>Statistical distributions</subject><subject>Transformations</subject><issn>0098-5589</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2003</creationdate><recordtype>article</recordtype><sourceid>RIE</sourceid><recordid>eNp9kEtLAzEQgHNQsFbvgpecxMvWZPPYzbGUWoWigvUc0uzERnY3Ndki_femtODN0zDMN68PoRtKJpQS9bB6n09KQljOaqaYPEMjQlRdCFGrC3SZ0hchRFSVGCEzxbveOw8NTnYDHeDgcAo5voR-E7rwCX3YJfwWfEqhx9sYLKSEu9BAm7ALMdNu-DERcITWm7Vv_bDHkAbfmcGH_gqdO9MmuD7FMfp4nK9mT8XydfE8my4Ly2Q1FMIxIQQRBmrOnFIOJLd2bSog5ZrWDdSMS9FQZ41yTdlIYIZL5bhSvAEgbIzujnPzid-7vF93PlloW9ND_kCXWUXNCc_g_b8glRXljElBM0qOqI0hpQhOb2N-K-41JfqgWmfV-qBan1TnlttjiweAP_xU_QVo_35d</recordid><startdate>20030301</startdate><enddate>20030301</enddate><creator>Chin-Yu Huang</creator><creator>Lyu, M.R.</creator><creator>Sy-Yen Kuo</creator><general>IEEE</general><scope>RIA</scope><scope>RIE</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7SC</scope><scope>7SP</scope><scope>8FD</scope><scope>F28</scope><scope>FR3</scope><scope>JQ2</scope><scope>L7M</scope><scope>L~C</scope><scope>L~D</scope></search><sort><creationdate>20030301</creationdate><title>A unified scheme of some Nonhomogenous Poisson process models for software reliability estimation</title><author>Chin-Yu Huang ; Lyu, M.R. ; Sy-Yen Kuo</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c367t-5f355505ae843f99fe64ccba7e02b18de83465d1fca9fd2d6e3a469f4994dee03</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2003</creationdate><topic>Arithmetic</topic><topic>Earth Observing System</topic><topic>Harmonics</topic><topic>Mathematical models</topic><topic>Power system harmonics</topic><topic>Programming</topic><topic>Reliability engineering</topic><topic>Software engineering</topic><topic>Software measurement</topic><topic>Software quality</topic><topic>Software reliability</topic><topic>Solid modeling</topic><topic>Statistical distributions</topic><topic>Transformations</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Chin-Yu Huang</creatorcontrib><creatorcontrib>Lyu, M.R.</creatorcontrib><creatorcontrib>Sy-Yen Kuo</creatorcontrib><collection>IEEE All-Society Periodicals Package (ASPP) 1998-Present</collection><collection>IEEE Electronic Library (IEL)</collection><collection>CrossRef</collection><collection>Computer and Information Systems Abstracts</collection><collection>Electronics & Communications Abstracts</collection><collection>Technology Research Database</collection><collection>ANTE: Abstracts in New Technology & Engineering</collection><collection>Engineering Research Database</collection><collection>ProQuest Computer Science Collection</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Computer and Information Systems Abstracts Academic</collection><collection>Computer and Information Systems Abstracts Professional</collection><jtitle>IEEE transactions on software engineering</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Chin-Yu Huang</au><au>Lyu, M.R.</au><au>Sy-Yen Kuo</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>A unified scheme of some Nonhomogenous Poisson process models for software reliability estimation</atitle><jtitle>IEEE transactions on software engineering</jtitle><stitle>TSE</stitle><date>2003-03-01</date><risdate>2003</risdate><volume>29</volume><issue>3</issue><spage>261</spage><epage>269</epage><pages>261-269</pages><issn>0098-5589</issn><coden>IESEDJ</coden><abstract>In this paper, we describe how several existing software reliability growth models based on Nonhomogeneous Poisson processes (NHPPs) can be comprehensively derived by applying the concept of weighted arithmetic, weighted geometric, or weighted harmonic mean. 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subjects | Arithmetic Earth Observing System Harmonics Mathematical models Power system harmonics Programming Reliability engineering Software engineering Software measurement Software quality Software reliability Solid modeling Statistical distributions Transformations |
title | A unified scheme of some Nonhomogenous Poisson process models for software reliability estimation |
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