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Home  Advanced Technologies  Qualitative Analysis of Failures in High Integrity
 Qualitative Analysis of
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Qualitative Analysis of Failures in High Integrity Systems

In addition to the use of importance sampling, there is another view that can be taken of high integrity systems where reliability is very high and there is relatively little failure data on which evaluations can be made. This method involves a qualitative evaluation of the data and the search for trends. This is not a technology so much as a methodology, as extensive experience and insight are required for its success. An example of findings we have made using this approach is in the Space Shuttle avionics: This software is highly mature and was developed with great care. This is demonstrated by the fact that the predominant cause of failures are multiply occurring unusual events or exception conditions as can be caused by mechanical or electric failures. The Removal of the remaining errors therefore requires the development of test cases that stress this trend: not only single unusual events, but rather focus on multiple rare conditions.

 



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analysis costing cycle life, availability, block design, block diagram, block diagram software, business continuity, business continuity planning, design fmea, engineering resource, fmea, fmea software, fmeca, fracas, hardware project, high availability, lcc, life cycle cost, life cycle costing, markov, markov chain, mil 217, mil hdbk 217, network analysis system, network availability, ram design, rbd, reliability, reliability analysis, reliability analysis software, reliability engineering, reliability modeling, reliability prediction, reliability prediction software, reliability services, reliability software, reliability tool, system reliability, tco, total cost of ownership, data prediction, process fmea, reliability availability, tco tool, integrated hardware support, prediction software, process flow software, reliability block diagram, sneak circuit analysis, markov reliability, analysis costing cycle life, hardware prediction, failure reporting, sneak circuit, tco analysis, reliability software tool, data safety software, hardware prediction software