conceptual modeling

conceptual modeling

[kən′sep·chə·wəl ′mäd·liŋ]
(computer science)
Writing a program by means of which a given result will be obtained, although the result is incapable of proof. Also known as heuristic programming.
References in periodicals archive ?
Their topics include conceptual modeling using Petri nets, thermal analysis of the microprocessor without interlocked pipeline stages (MIPS) formulated within discrete event system specification (DEVS) convention, modeling a Chilean hospital using specification and description language, the formal consistency verification of the unified modeling language (UML) requirement and analysis models, an integrated framework to simulate SysML models using DEVS simulators, and an overview of agent-based social modeling and the use of formal languages.
Conceptual modeling for simulation: issues and research requirements, Proceedings of the 2006 Winter Simulation Conference, IEEE, ISBN: 1-4244-05009, Piscataway, NJ
In other classification according to engineering application can divided modeling to three method, physical, mathematical and conceptual modeling.
Chapters cover the data warehouse system lifecycle, analysis and reconciliation of data sources, user requirement analysis, conceptual modeling, conceptual design, logical modeling, logical design, data-staging design, indexes for data warehouses, physical design, data warehouse project documentation, a case study, and the use of data warehouses for business intelligence.
Work is currently underway to strengthen the conceptual modeling tools used in the process (Norton SB, personal communication).
In this advanced context, Analysis is not anymore related only to an independent Conceptual Modeling step.
Conceptual modeling also enables engineers to quickly produce multiple iterations of a sample part, revolutionizing the design process.
EA/Studio is a business process and conceptual modeling tool for connecting data models with business processes to align IT with business objectives.
In this volume, 25 studies explore such topics as a context-sensitive approach to dynamic visual analytics of energy production processes, creating a personal-context oriented real-time dynamic and collaborative space, query and answer forms for sophisticated database interfaces, cultural and lingual awareness for global conceptual modeling, and a practical approach to real time contextual data access.
They are defined to make the reuse of conceptual modeling solutions possible, using terms and jargons from the application domain [15].
This conceptual modeling methodology is dynamic and population based; that is, the risk of infection manifests at the population level.
Under the terms of the agreement, more than 900 SOM professionals worldwide will take advantage of the powerful yet easy-to-use conceptual modeling features of SketchUp both in the office and at home.

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