Agent-Based Modeling and Simulation (ABMS) is a promising approach for effectively analyzing, and under- standing complex systems. To date, only few method- ological approaches have been proposed in order to de- sign credible and correct simulation studies. Each of them commits the identification of objectives and met- rics of the simulation study to the expertise of the de- signer. In this paper, we propose a GQM-based heuris- tic for overcoming the lack of appropriate guidelines able to lead designers in properly capturing and representing the simulation objectives and metrics. Such a heuris- tic exploits the power of an ontological representation of the problem domain to highlight key elements that guide the identification of simulation goals and metrics.
A Method for Identifying Objectives and Metrics of Agent-based Simulation Studies
P Ribino;M Cossentino;C Lodato
2016
Abstract
Agent-Based Modeling and Simulation (ABMS) is a promising approach for effectively analyzing, and under- standing complex systems. To date, only few method- ological approaches have been proposed in order to de- sign credible and correct simulation studies. Each of them commits the identification of objectives and met- rics of the simulation study to the expertise of the de- signer. In this paper, we propose a GQM-based heuris- tic for overcoming the lack of appropriate guidelines able to lead designers in properly capturing and representing the simulation objectives and metrics. Such a heuris- tic exploits the power of an ontological representation of the problem domain to highlight key elements that guide the identification of simulation goals and metrics.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
