6533b81ffe1ef96bd12787e2
RESEARCH PRODUCT
Simulation Goals and Metrics Identification
Valeria SeiditaCarmelo LodatoMassimo CossentinoPatrizia Ribinosubject
0209 industrial biotechnologyComputer sciencemedia_common.quotation_subject02 engineering and technologyInformation Systemlcsh:QA75.5-76.95Modeling and simulationSet (abstract data type)020901 industrial engineering & automationSoftware0202 electrical engineering electronic engineering information engineeringInformation systemComputer Science (miscellaneous)Quality (business)Software measurementmedia_commonSettore ING-INF/05 - Sistemi Di Elaborazione Delle Informazionilcsh:T58.5-58.64lcsh:Information technologybusiness.industryManagement science020208 electrical & electronic engineeringCognitive neuroscience of visual object recognitionComputer Science Applications1707 Computer Vision and Pattern Recognitionmulti agent systemsIdentification (information)lcsh:Electronic computers. Computer sciencesimulationsbusinessdescription
Agent-Based Modeling and Simulation (ABMS) is a very useful means for producing high quality models during simulation studies. When ABMS is part of a methodological ap- proach it becomes important to have a method for identifying the objectives of the simulation study in a disciplined fashion. In this work we propose a set of guidelines for properly capturing and representing the goals of the simulations and the metrics, allowing and evaluating the achievement of a simulation objective. We take inspiration from the goal-question-metric approach and with the aid of a specific problem formalization we are able to derive the right questions for relating simulation goals and metrics.
| year | journal | country | edition | language |
|---|---|---|---|---|
| 2016-01-01 |