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Verification and Validation in Scientific Simulations

This questionnaire is prepared to gather information on verification and validation (V&V) activities for computational simullations in scientific work in areas of computational mechanics. It consists of 3 parts: 1) About you and your projects; 2) V&V activities; 3) Data used for V&V. It will take You from 15 to 30 min. to fill it. The questionnaire is annonymous. The summary results will be published on http://mlewicka-mgr.blogspot.com until the end of May. Should You have any questions please contact magdalena.lewicka [at] gmail.com

Project Overview

Here are some general questions about you and your projects. Please, relate them to your typical project or to the last one.
General information
Large scale simulation can be considered as computational simulation consisted on tens, hundreds, thousands or more equations to solve.
Projects overview



Estimate your time (in %) in last project spent on:
  Requirements analysis  * Planning  * Building a model/ prototype/ solution/ construction  * Experiments  * Programming  * Verifying, validating, testing  * Other activities (e.g. documenting, meetings)  *
Project Timetable 
Below are few questions about planning your project.
Below are few questions about requirements definition.

Verification and Validation Processes

This section refers to verification and validation (V&V) aspects of your projects. Please, relate all questions to your typical project or to your last one. VERIFICATION can be treated as a comparison between two issues (e.g. 2 solutions, 2 models) where none of issues is a part of real world. Whereas VALIDATION can be concerned as a comparison between two issues, where one of issues is a part of real world (e.g. experiment results, real model behaviour).
Verification and Validation Plan
Below are few questions about defining verification and validation (V&V) processes for your poject.
Verification and Validation Activities
Solution verification



NONDETERMINISTIC situation is when you hardly know about the expected results and when it is difficult to predict effects.
Code Verification
This part refers to the software, programs which you have written during the project.
Numerical Model/Algorithm Verification

Software Quality Analysing and Testing

Software Quality Assurance Practises
Here are few questions which refers to practises that help to keep your code easy to verify.



Iterative and incremental methodology is a software development process. Whole process is divided in several steps, which are standalone and delivere a part of functionality of your software. Examples of methodologies: XP, SCRUM, Agile and many more adopted to project needs.
Conceptual Model Validation
Numerical Model Validation
BENCHMARK is a set of data that is used as a standard by which other things can be judged or measured.




Data for Verification and Validation

This section is about acquiring, maintaining and transforming data needed to execute necessary V&V activities in your project.
Data for V&V















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