A Framework for Optimizing Simulation Model Validation & Verification

Bill Roungas, Sebastiaan Meijer, Alexander Verbraeck

Research output: Contribution to journalArticleScientificpeer-review

446 Downloads (Pure)


Thirty years of research on validation and verification have returned a plethora of methods and statistical techniques through methodological and case studies. It is, however, this abundance of methods and techniques that poses a major challenge. Due to time and budget constraints, it is impossible to apply all the available methods and techniques in a single study, and as such a careful selection has to be made. This paper builds on two assumptions: a) simulations, real-world systems, methods, and techniques can be defined on the basis of different characteristics and b) certain methods and techniques are more suitable than others for different kinds of simulation studies. The present study aims at identifying the specific characteristics that make certain methods and techniques more effective and more efficient than others, when juxtaposing these with the simulations' and systems' different characteristics. The conclusion will advance a methodology for choosing the most appropriate methods and techniques for validating and/or verifying a simulation.
Original languageEnglish
Article number13
Pages (from-to)137-152
Number of pages16
JournalInternational Journal on Advances in Systems and Measurements
Issue number1 & 2
Publication statusPublished - 2018


  • simulation
  • validation
  • verification
  • method selection


Dive into the research topics of 'A Framework for Optimizing Simulation Model Validation & Verification'. Together they form a unique fingerprint.

Cite this