Applying reliability models to the maintenance of Space Shuttle software
| dc.contributor.author | Schneidewind, Norman F. | |
| dc.contributor.department | Information Sciences (IS) | |
| dc.date | Dec 01, 1992 | |
| dc.date.accessioned | 2018-09-27T00:06:45Z | |
| dc.date.available | 2018-09-27T00:06:45Z | |
| dc.date.issued | 1992-12 | |
| dc.description.abstract | Software reliability models provide the software manager with a powerful tool for predicting, controlling, and assessing the reliability of software during maintenance. We show how a reliability model can be effectively employed for reliability prediction and the development of maintenance strategies using the Space Shuttle Primary Avionics Software Subsystem as an example. | |
| dc.description.distributionstatement | Approved for public release; distribution is unlimited. | |
| dc.identifier.citation | NASA. Goddard Space Flight Center, Proceedings of the Seventeenth Annual Software Engineering Workshop; p. 18 p | |
| dc.identifier.other | 19940006962 | |
| dc.identifier.uri | https://hdl.handle.net/10945/60113 | |
| dc.identifier.uri | https://ntrs.nasa.gov/search.jsp?R=19940006962 | |
| dc.publisher | NASA | |
| dc.rights | This publication is a work of the U.S. Government as defined in Title 17, United States Code, Section 101. Copyright protection is not available for this work in the United States. | |
| dc.subject.author | COMPUTER SYSTEMS PROGRAMS | en_US |
| dc.subject.author | MAINTENANCE | en_US |
| dc.subject.author | PERFORMANCE PREDICTION | en_US |
| dc.subject.author | RELIABILITY ANALYSIS | en_US |
| dc.subject.author | SOFTWARE RELIABILITY | en_US |
| dc.subject.author | SPACE SHUTTLES | en_US |
| dc.subject.author | AVIONICS | en_US |
| dc.subject.author | SOFTWARE ENGINEERING | en_US |
| dc.title | Applying reliability models to the maintenance of Space Shuttle software | |
| dc.type | Conference Paper | |
| dspace.entity.type | Publication | |
| relation.isDepartmentOfPublication | 74f4d405-0bff-4b6e-9446-edae3a8b11bb | |
| relation.isDepartmentOfPublication.latestForDiscovery | 74f4d405-0bff-4b6e-9446-edae3a8b11bb |
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