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Related Experiment Video

Updated: Jul 2, 2026

Interactive and Visualized Online Experimentation System for Engineering Education and Research

Interactive and Visualized Online Experimentation System for Engineering Education and Research

Published on: November 24, 2021

The need for verifiable visualization.

Robert M Kirby¹, Cláudio T Silva

¹University of Utah, Utah, USA. kirby@cs.utah.edu

IEEE Computer Graphics and Applications

|August 30, 2008

Summary

This summary is machine-generated.

Visualization is crucial for scientific simulation data analysis. This study argues for integrating visualization into the validation and verification (V&V) process to ensure reliable scientific discovery and simulation accuracy.

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Last Updated: Jul 2, 2026

Interactive and Visualized Online Experimentation System for Engineering Education and Research

Interactive and Visualized Online Experimentation System for Engineering Education and Research

Published on: November 24, 2021

Visualization Method for Proprioceptive Drift on a 2D Plane Using Support Vector Machine

Visualization Method for Proprioceptive Drift on a 2D Plane Using Support Vector Machine

Published on: October 27, 2016

Area of Science:

Computational science
Scientific visualization
Data analysis

Background:

Visualization is integral to the simulation science pipeline, serving as a primary tool for data examination and understanding simulation behaviors.
Current practices often overlook the explicit inclusion of visualization within the scientific validation and verification (V&V) framework.

Purpose of the Study:

To define validation and verification (V&V) within the computational science context.
To highlight the critical role of V&V in the broader scientific process.
To present a case for the necessity of verifiable visualization techniques.

Main Methods:

Conceptual analysis of V&V in computational science.
Discussion of V&V's role in scientific discovery.
Argumentation for verifiable visualization.

Main Results:

Defines V&V in computational science.
Explains V&V's importance in scientific workflows.
Establishes the need for verifiable visualization.

Conclusions:

Visualization is a critical component of the simulation science pipeline.
Explicit consideration of visualization within the validation and verification (V&V) process is essential.
Verifiable visualization practices are necessary for robust scientific outcomes.