Quantitative Paradigm of Software Reliability as Content Relevance
Yuri Arkhipkin
TL;DR
This paper proposes a unified quantitative framework for assessing software reliability and content relevance, validated through a potential reliability law, emphasizing their mathematical interconnectedness.
Contribution
It introduces a unified mathematical paradigm linking software reliability and content relevance, supported by validation via a potential reliability law.
Findings
Validated the quantitative paradigm with potential reliability law
Unified mathematical approach for reliability and relevance
Highlights the interconnectedness of reliability and content relevance
Abstract
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.
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Taxonomy
TopicsSoftware Reliability and Analysis Research · Advanced Data Processing Techniques · Engineering Diagnostics and Reliability