Updates to the Schneidewind software reliability model in SMERFS
This paper describes research performed to augment the capabilities of the statistical modeling and estimation of reliability functions for systems (SMERFS) software suite. Enhancements to the Schneidewind software reliability model, which features optimal selection of failure data for predicting fa...
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| creator | Fair, W.H. Crigler, J.R. Wallace, D.R. |
| description | This paper describes research performed to augment the capabilities of the statistical modeling and estimation of reliability functions for systems (SMERFS) software suite. Enhancements to the Schneidewind software reliability model, which features optimal selection of failure data for predicting failure counts, were made to enable clearer interpretation of that model's results. These enhancements included the addition of risk assessment measures and modifications to the model's optimal point selection procedure. An analysis of an actual data set from a NASA Goddard Space Flight Center project that was used to validate these additions to SMERFS is included. |
| doi_str_mv | 10.1109/ISSRE.2004.45 |
| format | Conference Proceeding |
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Reliability</subject><subject>Exact sciences and technology</subject><subject>Hardware</subject><subject>Military computing</subject><subject>NASA</subject><subject>Predictive models</subject><subject>Risk management</subject><subject>Software</subject><subject>Software reliability</subject><subject>Software safety</subject><subject>Solid modeling</subject><subject>Space technology</subject><issn>1071-9458</issn><issn>2332-6549</issn><isbn>0769522157</isbn><isbn>9780769522159</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2004</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><recordid>eNpFzDtrwzAUBWDRBzRNM3bqoqWj3Xv1sOStJSRtIKUQN3OQpWui4jjBMoT8-wZS6FnOcD4OY48IOSKUL4uqWs1yAaBypa_YSEgpskKr8prdgylKLQRqc8NGCAazUml7xyYp_cA5WlurixF7XR-CGyjxYc-HLfHKbzuKgY6xCzztm-HoeuI9tdHVsY3Die_2gVoeO159zlbz6oHdNq5NNPnrMVvPZ9_Tj2z59b6Yvi2zKEAPWZCqLmunBGGBxhipMTS1QFkS1EbZAN6CV8aQN4i-hqYJ6KRy6EGLsx-z58vvwSXv2qZ3nY9pc-jjzvWnDRZGaSjt2T1dXCSi_1laiVLKX4UWVpU</recordid><startdate>2004</startdate><enddate>2004</enddate><creator>Fair, W.H.</creator><creator>Crigler, J.R.</creator><creator>Wallace, D.R.</creator><general>IEEE</general><scope>6IE</scope><scope>6IL</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIL</scope><scope>IQODW</scope></search><sort><creationdate>2004</creationdate><title>Updates to the Schneidewind software reliability model in SMERFS</title><author>Fair, W.H. ; Crigler, J.R. ; Wallace, D.R.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i205t-d34b9ba42e161777351dfb2139e0b748d0c80c477ec711cb0ffd1a34a1c052773</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2004</creationdate><topic>Aerospace safety</topic><topic>Applied sciences</topic><topic>Computer science; control theory; systems</topic><topic>Computer systems performance. Reliability</topic><topic>Exact sciences and technology</topic><topic>Hardware</topic><topic>Military computing</topic><topic>NASA</topic><topic>Predictive models</topic><topic>Risk management</topic><topic>Software</topic><topic>Software reliability</topic><topic>Software safety</topic><topic>Solid modeling</topic><topic>Space technology</topic><toplevel>online_resources</toplevel><creatorcontrib>Fair, W.H.</creatorcontrib><creatorcontrib>Crigler, J.R.</creatorcontrib><creatorcontrib>Wallace, D.R.</creatorcontrib><collection>IEEE Electronic Library (IEL) Conference Proceedings</collection><collection>IEEE Proceedings Order Plan All Online (POP All Online) 1998-present by volume</collection><collection>IEEE Xplore All Conference Proceedings</collection><collection>IEEE Electronic Library (IEL)</collection><collection>IEEE Proceedings Order Plans (POP All) 1998-Present</collection><collection>Pascal-Francis</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Fair, W.H.</au><au>Crigler, J.R.</au><au>Wallace, D.R.</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Updates to the Schneidewind software reliability model in SMERFS</atitle><btitle>15th International Symposium on Software Reliability Engineering</btitle><stitle>ISSRE</stitle><date>2004</date><risdate>2004</risdate><spage>379</spage><epage>390</epage><pages>379-390</pages><issn>1071-9458</issn><eissn>2332-6549</eissn><isbn>0769522157</isbn><isbn>9780769522159</isbn><abstract>This paper describes research performed to augment the capabilities of the statistical modeling and estimation of reliability functions for systems (SMERFS) software suite. Enhancements to the Schneidewind software reliability model, which features optimal selection of failure data for predicting failure counts, were made to enable clearer interpretation of that model's results. These enhancements included the addition of risk assessment measures and modifications to the model's optimal point selection procedure. An analysis of an actual data set from a NASA Goddard Space Flight Center project that was used to validate these additions to SMERFS is included.</abstract><cop>Los Alamitos CA</cop><pub>IEEE</pub><doi>10.1109/ISSRE.2004.45</doi><tpages>12</tpages></addata></record> |
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| identifier | ISSN: 1071-9458 |
| ispartof | 15th International Symposium on Software Reliability Engineering, 2004, p.379-390 |
| issn | 1071-9458 2332-6549 |
| language | eng |
| recordid | cdi_pascalfrancis_primary_16745098 |
| source | IEEE Electronic Library (IEL) Conference Proceedings |
| subjects | Aerospace safety Applied sciences Computer science control theory systems Computer systems performance. Reliability Exact sciences and technology Hardware Military computing NASA Predictive models Risk management Software Software reliability Software safety Solid modeling Space technology |
| title | Updates to the Schneidewind software reliability model in SMERFS |
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