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| Non-Parametric Software Reliability | |
| Point of Contact |
Victor Laing vlaing@pop300.gsfc.nasa.gov |
| Dates | October 2002 - September 2003 |
| Problem | Essentially all software reliability models and associated research have been based on familiar parametric distributions and methods inherited from hardware reliability models. These models do not transfer completely to the software domain. This resear ch proposes that non-parametric models are more applicable to software reliability. |
| Objective | Unfortunately there have been two general separate approaches to software reliability modeling: static code metrics and dynamic reliability growth modeling. Both the static code metrics and dynamic reliability growth models address different issues of software reliability modeling. Non-parametric techniques can be employed to unify these independent approaches to produce more accurate and flexible software reliability models. A software tool based on the more accurate non-parametric models will en able practical application of this research. |
| Results |
Completion of Production Version Tool.zip End of Year Summary Briefing.ppt |
| Keywords | software reliability, non-parametric models, static code metrics, quality assurance |
| Categories |
Quality Assurance Software Reliability Code Analysis Static Analysis |
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Curator: Josh Stonestreet NASA Official: Lisa Montgomery |
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