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4.2.4 THE ROLE OF MODELING IN THE DEVELOPMENT OF LARGE SYSTEMS
Author(s) -
Hodapp Jonathan M.,
Hyer Scott A.
Publication year - 1995
Publication title -
incose international symposium
Language(s) - English
Resource type - Journals
ISSN - 2334-5837
DOI - 10.1002/j.2334-5837.1995.tb01868.x
Subject(s) - computer science , set (abstract data type) , work (physics) , value (mathematics) , development (topology) , systems engineering , risk analysis (engineering) , software engineering , operations research , industrial engineering , engineering , machine learning , programming language , mathematics , mechanical engineering , medicine , mathematical analysis
When developing a complex system it is becoming less acceptable to build a prototype or first article without first predicting performance, functionality, form, and fit with a set of models. Models are used to reduce risks by identifying problems early and providing means to trade off candidate solutions. With the relatively recent explosion in computer capabilities, modeling has become more efficient and affordable than ever before. This paper discusses the reasons for using models and the value they add throughout the system life cycle, describes the different levels of modeling, and suggests how models should be developed. A case study from work done by the authors is included to support the general statements made and to demonstrate their practical application.