Interrogative Agents for Data Modeling

2009 ◽  
pp. 110-118
Author(s):  
Vincenzo Deufemia ◽  
Giuseppe Polese ◽  
Mario Vacca
Keyword(s):  
Software Development ◽  
Real World ◽  
System Development ◽  
Data Modeling ◽  
Functional Requirements ◽  
Step Process ◽  
The Real ◽  
Continuous Evolution ◽  
Gradual Decay

The problem of changes in software development is a complex one, and it is almost impossible to avoid it. Indeed, the continuous evolution of the real world causes frequent changes in functional requirements, which entail frequent modifications to the software, yielding a gradual decay of its overall quality. To tackle this problem, two methodologies have been proposed: waterfall methodologies, and incremental/iterative methodologies. The formers try to prevent changes, whereas the second ones consider system development as a step by step process.

Progress Toward a Complete Set of Errors for Modeling and Simulation

2020 ◽  
Vol 5 (3) ◽  
Author(s):  
Joshua Kaizer
Keyword(s):  
Modeling And Simulation ◽  
Uncertainty Quantification ◽  
Real World ◽  
Total Error ◽  
World System ◽  
Distinct Difference ◽  
Correct Prediction ◽  
Step Process ◽  
The Real ◽  
Complete Set

Abstract To develop a fully complete set of errors associated with modeling and simulation, it is necessary to express every error that could impact the accuracy of a computational model's prediction of the real world system (i.e., a set of errors that is theoretically complete) and to develop a means to assess each error (i.e., making the set practically complete). As a first step toward this goal, this paper focuses on developing a theoretically complete set of errors that, if accounted for, would result in the correct prediction of reality. In order to derive this theoretically complete set of errors, a three-step process is followed. First, a generic scenario is introduced which is defined by a set of functions and inputs common to many, if not most, applications in modeling and simulation. Second, using only these functions and inputs, an equation for the total error is defined such that correcting the model's prediction to account for the error would result in a correct prediction of reality. Finally, the equation for total error is expanded by introducing terms from the generic scenario. This results in a decomposition of the total error into a set of thirteen distinct difference terms, each of which is defined as an error and many of which are closely related to current practices in verification, validation, and uncertainty quantification. These thirteen errors represent a theoretically complete set.

Data Modeling for Mobile Services in the Real World

2003 ◽  
pp. 1-9 ◽  
Author(s):  
Christian S. Jensen ◽  
Torben Bach Pedersen ◽  
Laurynas Speičys ◽  
Igor Timko
Keyword(s):  
Real World ◽  
Data Modeling ◽  
Mobile Services ◽  
The Real

Current Issues: Evidence-Based Practice for the Real World: Thoughts on Clinical Education in Communication Disorders

2010 ◽  
Vol 20 (3) ◽  
pp. 100-105 ◽  
Author(s):  
Anne K. Bothe
Keyword(s):  
Clinical Education ◽  
Real World ◽  
Evidence Based Practice ◽  
Communication Disorders ◽  
University Faculty ◽  
Evidence Based ◽  
Speech Language Pathology ◽  
Basic Principles ◽  
The Real ◽  
Language Pathology

This article presents some streamlined and intentionally oversimplified ideas about educating future communication disorders professionals to use some of the most basic principles of evidence-based practice. Working from a popular five-step approach, modifications are suggested that may make the ideas more accessible, and therefore more useful, for university faculty, other supervisors, and future professionals in speech-language pathology, audiology, and related fields.

The Real-World Fellowship

2006 ◽  
Vol 40 (7) ◽  
pp. 47
Author(s):  
LEE SAVIO BEERS
Keyword(s):  
Real World ◽  
The Real

Contracts in the Real World

2016 ◽  
Author(s):  
Lawrence A. Cunningham
Keyword(s):  
Real World ◽  
The Real
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