The complexity of modern systems has made the use of simulations paramount, in order to test different scenarios in an affordable, ethical, and risk-free way. As such, simulations need to be validated, ensuring that the obtained results are meaningful. But validation apart from the computational difficulties, bears several other problems. The constant need for validation due to updates on the simulation software, the dependence on the validation experts to be always available for the new iterations and for presenting any new insights are just some of these problems. This paper proposes a framework, and applies it to two case studies, which is based on Web 3.0 technologies and the R statistical language as a mean to mitigate such problems.

Original languageEnglish
Title of host publicationSIMULTECH 2018 - Proceedings of 8th International Conference on Simulation and Modeling Methodologies, Technologies and Applications
EditorsFloriano De Rango, Mohammad S. Obaidat, Tuncer Oren
PublisherSciTePress
Pages44-54
Number of pages11
ISBN (Electronic)9789897583230
Publication statusPublished - 1 Jan 2018
Event8th International Conference on Simulation and Modeling Methodologies, Technologies and Applications, SIMULTECH 2018 - Porto, Portugal
Duration: 29 Jul 201831 Jul 2018

Conference

Conference8th International Conference on Simulation and Modeling Methodologies, Technologies and Applications, SIMULTECH 2018
CountryPortugal
CityPorto
Period29/07/1831/07/18

    Research areas

  • Friso, Opentrack, R statistical language, Simulation, Validation, Web technologies

ID: 57023371