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15th International Symposium on Software Reliability Engineering (ISSRE'04)
Updates to the Schneidewind Software Reliability Model in SMERFS
Saint-Malo, Bretagne, France
November 02-November 05
ISBN: 0-7695-2215-7
ASCII Text
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William H. Farr, John R. Crigler, Dolores R. Wallace, "Updates to the Schneidewind Software Reliability Model in SMERFS," Software Reliability Engineering, International Symposium on, pp. 379-390, 15th International Symposium on Software Reliability Engineering (ISSRE'04), 2004.
 
 
BibTex
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@article{ 10.1109/ISSRE.2004.45,
author = {William H. Farr and John R. Crigler and Dolores R. Wallace},
title = {Updates to the Schneidewind Software Reliability Model in SMERFS},
journal ={Software Reliability Engineering, International Symposium on},
volume = {0},
year = {2004},
issn = {1071-9458},
pages = {379-390},
doi = {http://doi.ieeecomputersociety.org/10.1109/ISSRE.2004.45},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - CONF
JO - Software Reliability Engineering, International Symposium on
TI - Updates to the Schneidewind Software Reliability Model in SMERFS
SN - 1071-9458
SP379
EP390
A1 - William H. Farr,
A1 - John R. Crigler,
A1 - Dolores R. Wallace,
PY - 2004
KW - null
VL - 0
JA - Software Reliability Engineering, International Symposium on
ER -
 
William H. Farr, Naval Surface Warfare Center Dahlgren Division
John R. Crigler, Naval Surface Warfare Center Dahlgren Division
Dolores R. Wallace, NASA Goddard Space Flight Center
This paper describes research performed to augment the capabilities of the Statistical Modeling and Estimation of Reliability Functions for Systems (SMERFS^3) 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^3 is included.
Citation:
William H. Farr, John R. Crigler, Dolores R. Wallace, "Updates to the Schneidewind Software Reliability Model in SMERFS," issre, pp.379-390, 15th International Symposium on Software Reliability Engineering (ISSRE'04), 2004
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