| enough sigma software reliability engineering research |
| Software Reliability and Content Relevance as Systems' Potential Reliability | Quantitative Paradigm of Software Reliability as Content Relevance |
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Yuri Arkhipkin
This paper argues for the unified quantitative approach to software reliability and content relevance validated by the systems potential reliability law. Presented are the estimations of minimum needed software test coverage to assure the achievement of Enough and Six Sigma software reliability at minimum and maximum fault flow throughout the test process. These estimations are based on the evaluation results yielded by the Agile Software Reliability Monitoring Model (ASRMM), approaching reliability problem in software engineering. This model integrates qualitative subject matter data and quantitative software reliability metrics. The ASRMM is viewed as a foundation of the Testerbot software reliability engineering that provides continuous reliability evaluations throughout software development process, thus accounting and tracing quantitative software reliability requirements from customer to product. Also presented are the estimations of minimum needed content semantic coverage to assure the achievement of Any Sigma content relevance for a given example content. These estimations are based on the evaluation results yielded by the Content Relevance Quantification Model (CRQM), approaching the relevance problem in content engineering. This model integrates qualitative subject matter data and quantitative content relevance metrics, providing continuous relevance evaluations throughout content engineering process, thus, making possible to trace content relevance requirements from customer to product. The CRQM is viewed as a foundation of the Sequantic content relevance engineering. Copyright 2006 - 2008 by Yuri Arkhipkin |
