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Software Resiliency Index indicates programming best practices that make software bullet-proof, more robust and secure. This index is derived through technology-specific code analysis that searches for the presence of code patterns and bad programming practices that may comprise the reliability of the software at short term. Higher is the Software Resiliency Index, lower is the likelihood of defects occurring in production.
Thresholds
For measuring the Thresholds, % are calculated from aggregated reliability violation results, respect than total, obtaining a Software Resiliency Index (SRI). Thresholds used for Software Resiliency Index:
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The following is an example of Reliability Checklist:
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For measuring the Thresholds, % are calculated from aggregated reliability violation results, respect than total.
As defined in the CISQ standard, we provide Checkilists for Security, Efficiency and Maintanability, as well as a Summary view:
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This analysis certifies the level of quality measured in this application when measured against the CISQ Quality Characteristic Measures developed by the Consortium for IT Software Quality and adopted as standards by the Object Management Group (OMG). These measures are developed from counting the number of times critical rules of good architectural and coding practice for each characteristic have been violated. Since structural quality analysis tools differ in the violations of good architectural and coding practices they can detect, the analysis will only include results for practices that were evaluated and are the basis for this certification. For each architectural or coding practice within each quality characteristic, the results present both the number of times each practice was violated and the number of opportunities for the practice to have been violated within the application. When aggregated over the all violations, these numbers provide the basis for a 6-sigma ranking for each quality characteristic and the aggregated characteristics. That is, the σ level representing the number of violations per million opportunities. This analysis provides an evidence-based assessment of the risk this application poses to the business operations it supports or its cost of ownership.
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