Integrated Model Testing, Validation and Behavior Analysis Software for System Dynamics Models

In this thesis a software for model behavior testing, validation and analysis is created. This software integrates previously developed methods on steady state behavior analysis based on traditional statistical methods and behavior classication based on pattern recognition literature, and introduces new features, functionalities and usage modes to them. It is the rst comprehensive tool that communicates with existing modeling software and performs automated analysis and evaluation. It is shown that this tool can assist the modeler/analyst in various stages during a dynamic modeling study. These stages are namely model structure validation by indirect structure tests, behavior pattern validation, model calibration, parameter estimation, behavior sensitivity analysis, behavior space exploration and policy analysis and design. This thesis contributes to the eld by developing a user-friendly, robust, modern software for model behavior analysis and evaluation. This environment is also extensible in several areas, and designed in order to become a basis for future research.