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Software Reliability Analysis DSES-6070 Statistical Methods for Reliability Engineering

Software Reliability Analysis DSES-6070 Statistical Methods for Reliability Engineering. Jen Gray 8/11/2008. Contents. Background Objective Analysis Conclusion. Background. Vista, Solumina , SAP… . Background. Vista, Solumina , SAP… what do they have in common?. Background.

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Software Reliability Analysis DSES-6070 Statistical Methods for Reliability Engineering

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  1. Software Reliability AnalysisDSES-6070 Statistical Methods for Reliability Engineering Jen Gray 8/11/2008

  2. Contents • Background • Objective • Analysis • Conclusion

  3. Background • Vista, Solumina, SAP…

  4. Background • Vista, Solumina, SAP… what do they have in common?

  5. Background • Vista, Solumina, SAP… what do they have in common?

  6. Background • Vista, Solumina, SAP… what do they have in common? • Avoid Costs of Faulty Product • 1700+ Hours of Testing • How Much Testing is Required?

  7. Objective • Determine if Software is Ready for Release • Failure Rate < 0.005 Failures / Hour • Estimate Additional Test Time

  8. Analysis • 84 Data Points

  9. Analysis • Weibull Distribution

  10. Analysis • Weibull Distribution

  11. Analysis • Failure Rate Reduction

  12. Conclusion • Product Not Ready for Release • Approximately 2500- 3000 Additional Hours Needed

  13. Questions

  14. Back-Up

  15. Analysis (Data Back-Up)

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