A Theory‐Driven Interpretation and Elaboration of Verification and Validation

ABSTRACT This paper presents a formal theory of verification and validation (V&V) within systems engineering, grounded in the axiom that V&V are fundamentally knowledge‐building activities. Using dynamic epistemic modal logic, we develop precise definitions of V&V, articulating their roles in confirming and contextualizing knowledge about systems. The theory formalizes the interplay between epistemic states, evidence, and reasoning processes, allowing for the derivation of theorems that clarify the conceptual underpinnings of V&V. By providing a formal foundation, this work addresses ambiguities in traditional V&V practices, offering a structured framework to enhance precision and consistency in systems engineering methodologies. The insights gained have implications for both academic research and practical applications, fostering a deeper understanding of V&V as critical components of engineering knowledge generation.

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Publication Details

Journal
Systems Engineering
Published
2025-12-30
DOI
https://doi.org/10.1002/sys.70034
Primary Topic
Systems Engineering Methodologies and Applications
Type
article
Field-Weighted Citation Impact
0.00
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article

A Theory‐Driven Interpretation and Elaboration of Verification and Validation

Hanumanthrao Kannan, Alejandro Iván Aguirre Salado
Systems Engineering
Systems Engineering Methodologies and Applications
article

A Theory‐Driven Interpretation and Elaboration of Verification and Validation

Hanumanthrao Kannan, Alejandro Iván Aguirre Salado
article en

Abstract

ABSTRACT This paper presents a formal theory of verification and validation (V&V) within systems engineering, grounded in the axiom that V&V are fundamentally knowledge‐building activities. Using dynamic epistemic modal logic, we develop precise definitions of V&V, articulating their roles in confirming and contextualizing knowledge about systems. The theory formalizes the interplay between epistemic states, evidence, and reasoning processes, allowing for the derivation of theorems that clarify the conceptual underpinnings of V&V. By providing a formal foundation, this work addresses ambiguities in traditional V&V practices, offering a structured framework to enhance precision and consistency in systems engineering methodologies. The insights gained have implications for both academic research and practical applications, fostering a deeper understanding of V&V as critical components of engineering knowledge generation.

Systems Engineering
University of Arizona (US), University of Alabama in Huntsville (US)
Openalex Percentile: Top 36%
Systems Engineering Methodologies and Applications
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