is the conceptual model executed on the machine. The computerized system is developed during a computer programming and executing phase, and inferences regarding the problem entity are got via guiding machine experiments on a computerized system in an experimentation phase.
Published in Chapter:
Verification and Validation of Simulation Models
Sattar J. Aboud (Middle East University for Graduate Studies, Jordan), Mohammad Al Fayoumi (Middle East University for Graduate Studies, Jordan), and Mohamed Alnuaimi (Middle East University for Graduate Studies, Jordan)
Copyright: © 2010
|Pages: 17
DOI: 10.4018/978-1-60566-774-4.ch004
Abstract
Unfortunately, cost and time are always restraints; the impact of simulation models to study the dynamic system performance is always rising. Also, with admiration of raising the network security models, the complexity of real model applications is rising too. As a result, the complexity of simulation models applications is also rising and the necessary demand for designing a suitable verification and validation systems to ensure the system reliability and integrality is very important. The key requirement to study the system integrity is to verify the system accuracy and to validate its legality regarding to prespecified applications causes and validly principles. This needs different plans, and application phases of simulation models to be properly identified, and the output of every part is properly documented. This chapter discusses validation and verification of simulation models. The different approaches to deciding model validity are presented; how model validation and verification relate to the model development process are discussed; various validation techniques are defined; conceptual model validity, model verification, operational validity, and data validity; superior verification and validation technique for simulation models relied on a multistage approach are described; ways to document results are given; and a recommended procedure is presented.