Quantitative Paradigm of Software Reliability as Content Relevance

This paper presents a quantitative approach to software reliability and content relevance definitions validated by the systems’ potential reliability law. Thus it is argued for the unified math nature or quantitative paradigm of software reliability and content relevance. This paradigm integrates subject matter data and quantitative software reliability metrics and is viewed as a foundation of the software engineering that provides continuous reliability evaluations throughout software development process, thus accounting and tracing quantitative software reliability requirements from customer to product. This paradigm integrates subject matter data and quantitative content relevance metrics and is viewed as a foundation of the content relevance engineering that provides continuous relevance evaluations throughout content engineering process, thus, making possible to trace content relevance requirements from customer to product. This integrated development environment is to be assured and supported by quantification grammar as a foundation of software reliability quantification programming language and content relevance quantification markup language.